{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T09:55:21Z","timestamp":1785405321716,"version":"3.56.0"},"reference-count":409,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Electron Markets"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s12525-022-00537-z","type":"journal-article","created":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T21:02:52Z","timestamp":1647637372000},"page":"297-338","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":288,"title":["Artificial intelligence in E-Commerce: a bibliometric study and literature review"],"prefix":"10.1007","volume":"32","author":[{"given":"Ransome Epie","family":"Bawack","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel Fosso","family":"Wamba","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin Daniel Andr\u00e9","family":"Carillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahriar","family":"Akter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,18]]},"reference":[{"key":"537_CR1","doi-asserted-by":"publisher","unstructured":"Abbasi, A., Zhang, Z., Zimbra, D., Chen, H., & Nunamaker, J. F. (2010). Detecting fake websites: The contribution of statistical learning theory. MIS Quarterly, 34(3), 435\u2013461. https:\/\/doi.org\/10.2307\/25750686","DOI":"10.2307\/25750686"},{"issue":"3","key":"537_CR2","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1007\/s12525-021-00459-2","volume":"31","author":"BM Abdel-Karim","year":"2021","unstructured":"Abdel-Karim, B. M., Pfeuffer, N., & Hinz, O. (2021). Machine learning in information systems - a bibliographic review and open research issues. Electronic Markets, 31(3), 643\u2013670. https:\/\/doi.org\/10.1007\/s12525-021-00459-2","journal-title":"Electronic Markets"},{"issue":"4","key":"537_CR3","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1057\/isre.2013.0497","volume":"24","author":"G Adomavicius","year":"2013","unstructured":"Adomavicius, G., Bockstedt, J. C., Curley, S. P., & Zhang, J. (2013). Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects. Information Systems Research, 24(4), 956\u2013975. https:\/\/doi.org\/10.1057\/isre.2013.0497","journal-title":"Information Systems Research"},{"issue":"1","key":"537_CR4","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1145\/1055709.1055714","volume":"23","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius, G., Sankaranarayanan, R., Sen, S., & Tuzhilin, A. (2005). Incorporating contextual information in recommender systems using a multidimensional approach. ACM Transactions on Information Systems, 23(1), 103\u2013145. https:\/\/doi.org\/10.1145\/1055709.1055714","journal-title":"ACM Transactions on Information Systems"},{"issue":"6","key":"537_CR5","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734\u2013749. https:\/\/doi.org\/10.1109\/TKDE.2005.99","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"1","key":"537_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/0960085X.2020.1721947","volume":"29","author":"PJ \u00c5gerfalk","year":"2020","unstructured":"\u00c5gerfalk, P. J. (2020). Artificial intelligence as digital agency. European Journal of Information Systems, 29(1), 1\u20138. https:\/\/doi.org\/10.1080\/0960085X.2020.1721947","journal-title":"European Journal of Information Systems"},{"issue":"5","key":"537_CR7","doi-asserted-by":"publisher","first-page":"18","DOI":"10.5539\/ass.v9n5p18","volume":"9","author":"A Aghaei Chadegani","year":"2013","unstructured":"Aghaei Chadegani, A., Salehi, H., Md Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ale Ebrahim, N. (2013). A comparison between two main academic literature collections: Web of science and scopus databases. Asian Social Science, 9(5), 18\u201326. https:\/\/doi.org\/10.5539\/ass.v9n5p18","journal-title":"Asian Social Science"},{"issue":"2","key":"537_CR8","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1145\/170036.170072","volume":"22","author":"R Agrawal","year":"1993","unstructured":"Agrawal, R., Imieli\u0144ski, T., & Swami, A. (1993). Mining Association Rules Between Sets of Items in Large Databases. ACM SIGMOD Record, 22(2), 207\u2013216. https:\/\/doi.org\/10.1145\/170036.170072","journal-title":"ACM SIGMOD Record"},{"key":"537_CR9","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.knosys.2017.03.019","volume":"125","author":"C Aguwa","year":"2017","unstructured":"Aguwa, C., Olya, M. H., & Monplaisir, L. (2017). Modeling of fuzzy-based voice of customer for business decision analytics. Knowledge-Based Systems, 125, 136\u2013145. https:\/\/doi.org\/10.1016\/j.knosys.2017.03.019","journal-title":"Knowledge-Based Systems"},{"key":"537_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2013.04.015","volume":"51","author":"SB Aher","year":"2013","unstructured":"Aher, S. B., & Lobo, L. M. R. J. (2013). Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data. Knowledge-Based Systems, 51, 1\u201314. https:\/\/doi.org\/10.1016\/j.knosys.2013.04.015","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"537_CR11","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s12525-016-0219-0","volume":"26","author":"S Akter","year":"2016","unstructured":"Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: A systematic review and agenda for future research. Electronic Markets, 26(2), 173\u2013194. https:\/\/doi.org\/10.1007\/s12525-016-0219-0","journal-title":"Electronic Markets"},{"key":"537_CR12","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.indmarman.2021.07.014","volume":"97","author":"S Akter","year":"2021","unstructured":"Akter, S., Wamba, S. F., Mariani, M., & Hani, U. (2021). How to Build an AI Climate-Driven Service Analytics Capability for Innovation and Performance in Industrial Markets? Industrial Marketing Management, 97, 258\u2013273. https:\/\/doi.org\/10.1016\/j.indmarman.2021.07.014","journal-title":"Industrial Marketing Management"},{"key":"537_CR13","doi-asserted-by":"publisher","unstructured":"Al-Natour, S., Benbasat, I., & Cenfetelli, R. (2011). The adoption of online shopping assistants: Perceived similarity as an antecedent to evaluative beliefs. Journal of the Association for Information Systems, 12(5), 347\u2013374.\u00a0https:\/\/doi.org\/10.17705\/1jais.00267","DOI":"10.17705\/1jais.00267"},{"key":"537_CR14","doi-asserted-by":"crossref","unstructured":"Al-Natour, S., Benbasat, I., & Cenfetelli, R. T. (2006). The role of design characteristics in shaping perceptions of similarity: The case of online shopping assistants. Journal of the Association for Information Systems, 7(12), 821\u2013861.","DOI":"10.17705\/1jais.00110"},{"key":"537_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2020.102132","volume":"54","author":"S Al-Natour","year":"2020","unstructured":"Al-Natour, S., & Turetken, O. (2020). A comparative assessment of sentiment analysis and star ratings for consumer reviews. International Journal of Information Management, 54, 102132. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2020.102132","journal-title":"International Journal of Information Management"},{"key":"537_CR16","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.knosys.2016.03.006","volume":"100","author":"MYH Al-Shamri","year":"2016","unstructured":"Al-Shamri, M. Y. H. (2016). User profiling approaches for demographic recommender systems. Knowledge-Based Systems, 100, 175\u2013187. https:\/\/doi.org\/10.1016\/j.knosys.2016.03.006","journal-title":"Knowledge-Based Systems"},{"issue":"1","key":"537_CR17","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s12525-019-00340-3","volume":"29","author":"R Alt","year":"2019","unstructured":"Alt, R., Ehmke, J. F., Haux, R., Henke, T., Mattfeld, D. C., Oberweis, A., Paech, B., & Winter, A. (2019). Towards customer-induced service orchestration - requirements for the next step of customer orientation. Electronic Markets, 29(1), 79\u201391. https:\/\/doi.org\/10.1007\/s12525-019-00340-3","journal-title":"Electronic Markets"},{"issue":"4","key":"537_CR18","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1016\/j.joi.2017.08.007","volume":"11","author":"M Aria","year":"2017","unstructured":"Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959\u2013975. https:\/\/doi.org\/10.1016\/j.joi.2017.08.007","journal-title":"Journal of Informetrics"},{"issue":"3","key":"537_CR19","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1007\/s11205-020-02281-3","volume":"149","author":"M Aria","year":"2020","unstructured":"Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social Indicators Research, 149(3), 803\u2013831. https:\/\/doi.org\/10.1007\/s11205-020-02281-3","journal-title":"Social Indicators Research"},{"key":"537_CR20","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1016\/j.ijinfomgt.2018.08.006","volume":"45","author":"RA Ariyaluran Habeeb","year":"2019","unstructured":"Ariyaluran Habeeb, R. A., Nasaruddin, F., Gani, A., Targio Hashem, I. A., Ahmed, E., & Imran, M. (2019). Real-time big data processing for anomaly detection: A Survey. International Journal of Information Management, 45, 289\u2013307. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2018.08.006","journal-title":"International Journal of Information Management"},{"issue":"4","key":"537_CR21","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1057\/jit.2014.16","volume":"29","author":"D Arnott","year":"2014","unstructured":"Arnott, D., & Pervan, G. (2014). A critical analysis of decision support systems research revisited: The rise of design science. Journal of Information Technology, 29(4), 269\u2013293. https:\/\/doi.org\/10.1057\/jit.2014.16","journal-title":"Journal of Information Technology"},{"key":"537_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2021.101058","volume":"48","author":"D Ayvaz","year":"2021","unstructured":"Ayvaz, D., Aydo\u011fan, R., Ak\u00e7ura, M. T., & \u015eensoy, M. (2021). Campaign participation prediction with deep learning. Electronic Commerce Research and Applications, 48, 101058. https:\/\/doi.org\/10.1016\/j.elerap.2021.101058","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR23","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.knosys.2016.10.025","volume":"116","author":"MM Azadjalal","year":"2017","unstructured":"Azadjalal, M. M., Moradi, P., Abdollahpouri, A., & Jalili, M. (2017). A trust-aware recommendation method based on Pareto dominance and confidence concepts. Knowledge-Based Systems, 116, 130\u2013143. https:\/\/doi.org\/10.1016\/j.knosys.2016.10.025","journal-title":"Knowledge-Based Systems"},{"key":"537_CR24","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.ins.2019.01.023","volume":"483","author":"S Bag","year":"2019","unstructured":"Bag, S., Kumar, S. K., & Tiwari, M. K. (2019). An efficient recommendation generation using relevant Jaccard similarity. Information Sciences, 483, 53\u201364. https:\/\/doi.org\/10.1016\/j.ins.2019.01.023","journal-title":"Information Sciences"},{"issue":"4","key":"537_CR25","doi-asserted-by":"publisher","first-page":"1132","DOI":"10.1287\/isre.2020.0935","volume":"31","author":"X Bai","year":"2020","unstructured":"Bai, X., Marsden, J. R., Ross, W. T., & Wang, G. (2020). A note on the impact of daily deals on local retailers\u2019 online reputation: Mediation effects of the consumer experience. Information Systems Research, 31(4), 1132\u20131143. https:\/\/doi.org\/10.1287\/isre.2020.0935","journal-title":"Information Systems Research"},{"issue":"3","key":"537_CR26","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1145\/245108.245124","volume":"40","author":"M Balabanovi\u0107","year":"1997","unstructured":"Balabanovi\u0107, M., & Shoham, Y. (1997). Content-Based, Collaborative Recommendation. Communications of the ACM, 40(3), 66\u201372. https:\/\/doi.org\/10.1145\/245108.245124","journal-title":"Communications of the ACM"},{"issue":"1","key":"537_CR27","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1111\/j.1540-5915.2008.00181.x","volume":"39","author":"S Bandyopadhyay","year":"2008","unstructured":"Bandyopadhyay, S., Rees, J., & Barron, J. M. (2008). Reverse auctions with multiple reinforcement learning agents. Decision Sciences, 39(1), 33\u201363. https:\/\/doi.org\/10.1111\/j.1540-5915.2008.00181.x","journal-title":"Decision Sciences"},{"issue":"2","key":"537_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsis.2020.101618","volume":"29","author":"J Baptista","year":"2020","unstructured":"Baptista, J., Stein, M.-K., Klein, S., Watson-Manheim, M. B., & Lee, J. (2020). Digital work and organisational transformation: Emergent Digital\/Human work configurations in modern organisations. The Journal of Strategic Information Systems, 29(2), 101618. https:\/\/doi.org\/10.1016\/j.jsis.2020.101618","journal-title":"The Journal of Strategic Information Systems"},{"key":"537_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106296","volume":"205","author":"R Barzegar Nozari","year":"2020","unstructured":"Barzegar Nozari, R., & Koohi, H. (2020). A novel group recommender system based on members\u2019 influence and leader impact. Knowledge-Based Systems, 205, 106296. https:\/\/doi.org\/10.1016\/j.knosys.2020.106296","journal-title":"Knowledge-Based Systems"},{"issue":"4","key":"537_CR30","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1080\/10864415.2016.1355654","volume":"21","author":"C Bassano","year":"2017","unstructured":"Bassano, C., Gaeta, M., Piciocchi, P., & Spohrer, J. C. (2017). Learning the Models of Customer Behavior: From Television Advertising to Online Marketing. International Journal of Electronic Commerce, 21(4), 572\u2013604. https:\/\/doi.org\/10.1080\/10864415.2016.1355654","journal-title":"International Journal of Electronic Commerce"},{"key":"537_CR31","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.dss.2017.12.002","volume":"106","author":"J Bauer","year":"2018","unstructured":"Bauer, J., & Jannach, D. (2018). Optimal pricing in e-commerce based on sparse and noisy data. Decision Support Systems, 106, 53\u201363. https:\/\/doi.org\/10.1016\/j.dss.2017.12.002","journal-title":"Decision Support Systems"},{"key":"537_CR32","doi-asserted-by":"publisher","unstructured":"Bawack, R. E., Wamba, S. F., & Carillo, K. (2021). A framework for understanding artificial intelligence research: insights from practice. Journal of Enterprise Information Management, 34(2),\u00a0 645\u2013678. https:\/\/doi.org\/10.1108\/JEIM-07-2020-0284","DOI":"10.1108\/JEIM-07-2020-0284"},{"key":"537_CR33","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1016\/j.ins.2014.04.012","volume":"279","author":"P Bedi","year":"2014","unstructured":"Bedi, P., & Vashisth, P. (2014). Empowering recommender systems using trust and argumentation. Information Sciences, 279, 569\u2013586. https:\/\/doi.org\/10.1016\/j.ins.2014.04.012","journal-title":"Information Sciences"},{"key":"537_CR34","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/j.knosys.2016.08.013","volume":"111","author":"M Beladev","year":"2016","unstructured":"Beladev, M., Rokach, L., & Shapira, B. (2016). Recommender systems for product bundling. Knowledge-Based Systems, 111, 193\u2013206. https:\/\/doi.org\/10.1016\/j.knosys.2016.08.013","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"537_CR35","doi-asserted-by":"publisher","first-page":"281","DOI":"10.17705\/1jais.00662","volume":"22","author":"H Benbya","year":"2021","unstructured":"Benbya, H., Pachidi, S., & Jarvenpaa, S. L. (2021). Special issue editorial: Artificial intelligence in organizations: Implications for information systems research. Journal of the Association for Information Systems, 22(2), 281\u2013303. https:\/\/doi.org\/10.17705\/1jais.00662","journal-title":"Journal of the Association for Information Systems"},{"issue":"Jan","key":"537_CR36","first-page":"993","volume":"3","author":"DM Blei","year":"2002","unstructured":"Blei, D. M., Ng, A. Y., & Jordan, M. T. (2002). Latent dirichlet allocation. Advances in Neural Information Processing Systems, 3(Jan), 993\u20131022.","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"3","key":"537_CR37","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1007\/s12525-020-00443-2","volume":"31","author":"K Bl\u00f6cher","year":"2021","unstructured":"Bl\u00f6cher, K., & Alt, R. (2021). AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry. Electronic Markets, 31(3), 529\u2013551. https:\/\/doi.org\/10.1007\/s12525-020-00443-2","journal-title":"Electronic Markets"},{"issue":"10","key":"537_CR38","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https:\/\/doi.org\/10.1088\/1742-5468\/2008\/10\/P10008","journal-title":"Journal of Statistical Mechanics: Theory and Experiment"},{"key":"537_CR39","doi-asserted-by":"publisher","unstructured":"Bo, X., Benbasat, I., Xiao, B., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31(1), 137\u2013209. https:\/\/doi.org\/10.2307\/25148784","DOI":"10.2307\/25148784"},{"key":"537_CR40","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","volume":"46","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., & Guti\u00e9rrez, A. (2013). Recommender systems survey. Knowledge-Based Systems, 46, 109\u2013132. https:\/\/doi.org\/10.1016\/j.knosys.2013.03.012","journal-title":"Knowledge-Based Systems"},{"key":"537_CR41","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/j.knosys.2011.07.021","volume":"26","author":"J Bobadilla","year":"2012","unstructured":"Bobadilla, J., Ortega, F., Hernando, A., & Bernal, J. (2012). A collaborative filtering approach to mitigate the new user cold start problem. Knowledge-Based Systems, 26, 225\u2013238. https:\/\/doi.org\/10.1016\/j.knosys.2011.07.021","journal-title":"Knowledge-Based Systems"},{"issue":"3","key":"537_CR42","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1214\/ss\/1042727940","volume":"17","author":"RJ Bolton","year":"2002","unstructured":"Bolton, R. J., & Hand, D. J. (2002). Statistical fraud detection: A review. Statistical Science, 17(3), 235\u2013255. https:\/\/doi.org\/10.1214\/ss\/1042727940","journal-title":"Statistical Science"},{"key":"537_CR43","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.ins.2019.05.035","volume":"497","author":"A Bondielli","year":"2019","unstructured":"Bondielli, A., & Marcelloni, F. (2019). A survey on fake news and rumour detection techniques. Information Sciences, 497, 38\u201355. https:\/\/doi.org\/10.1016\/j.ins.2019.05.035","journal-title":"Information Sciences"},{"key":"537_CR44","doi-asserted-by":"publisher","unstructured":"Borges, A. F. S., Laurindo, F. J. B., Sp\u00ednola, M. M., Gon\u00e7alves, R. F., & Mattos, C. A. (2020). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 102225. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2020.102225","DOI":"10.1016\/j.ijinfomgt.2020.102225"},{"issue":"2","key":"537_CR45","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1080\/10919390902821291","volume":"19","author":"I Bose","year":"2009","unstructured":"Bose, I., & Chen, X. (2009). Hybrid models using unsupervised clustering for prediction of customer churn. Journal of Organizational Computing and Electronic Commerce, 19(2), 133\u2013151. https:\/\/doi.org\/10.1080\/10919390902821291","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"2","key":"537_CR46","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/S1567-4223(02)00013-3","volume":"1","author":"FMT Brazier","year":"2002","unstructured":"Brazier, F. M. T., Cornelissen, F., Gustavsson, R., Jonker, C. M., Lindeberg, O., Polak, B., & Treur, J. (2002). A multi-agent system performing one-to-many negotiation for load balancing of electricity use. Electronic Commerce Research and Applications, 1(2), 208\u2013224. https:\/\/doi.org\/10.1016\/S1567-4223(02)00013-3","journal-title":"Electronic Commerce Research and Applications"},{"issue":"1","key":"537_CR47","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5\u201332. https:\/\/doi.org\/10.1023\/A:1010933404324","journal-title":"Machine Learning"},{"key":"537_CR48","volume-title":"The Adaptive Web Methods and Strategies of Web Personalization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol 4321 LNCS","author":"P Brusilovski","year":"2007","unstructured":"Brusilovski, P., Kobsa, A., & Nejdl, W. (2007). The Adaptive Web Methods and Strategies of Web Personalization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol 4321 LNCS. Springer Science & Business Media."},{"issue":"1","key":"537_CR49","first-page":"473","volume":"45","author":"E Brynjolfsson","year":"2021","unstructured":"Brynjolfsson, E., Wang, C., & Zhang, X. (2021). The economics of IT and digitization: Eight questions for research. MIS Quarterly, 45(1), 473\u2013477.","journal-title":"MIS Quarterly"},{"issue":"3","key":"537_CR50","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/s12525-016-0228-z","volume":"27","author":"R Buettner","year":"2017","unstructured":"Buettner, R. (2017). Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender framework. Electronic Markets, 27(3), 247\u2013265. https:\/\/doi.org\/10.1007\/s12525-016-0228-z","journal-title":"Electronic Markets"},{"key":"537_CR51","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.ins.2012.02.036","volume":"198","author":"AC Bukhari","year":"2012","unstructured":"Bukhari, A. C., & Kim, Y.-G. (2012). Integration of a secure type-2 fuzzy ontology with a multi-agent platform: A proposal to automate the personalized flight ticket booking domain. Information Sciences, 198, 24\u201347. https:\/\/doi.org\/10.1016\/j.ins.2012.02.036","journal-title":"Information Sciences"},{"issue":"4","key":"537_CR52","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R Burke","year":"2002","unstructured":"Burke, R. (2002). Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12(4), 331\u2013370. https:\/\/doi.org\/10.1023\/A:1021240730564","journal-title":"User Modeling and User-Adapted Interaction"},{"issue":"1","key":"537_CR53","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.ijpe.2007.01.016","volume":"113","author":"G B\u00fcy\u00fck\u00f6zkan","year":"2008","unstructured":"B\u00fcy\u00fck\u00f6zkan, G., Feyzio\u01e7lu, O., & Nebol, E. (2008). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics, 113(1), 148\u2013158. https:\/\/doi.org\/10.1016\/j.ijpe.2007.01.016","journal-title":"International Journal of Production Economics"},{"key":"537_CR54","doi-asserted-by":"publisher","unstructured":"Cacheda, F., Carneiro, V., Fern\u00e1ndez, D., & Formoso, V. (2011). Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Transactions on the Web, 5(1). https:\/\/doi.org\/10.1145\/1921591.1921593","DOI":"10.1145\/1921591.1921593"},{"key":"537_CR55","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.knosys.2019.04.001","volume":"177","author":"H Cai","year":"2019","unstructured":"Cai, H., & Zhang, F. (2019). Detecting shilling attacks in recommender systems based on analysis of user rating behavior. Knowledge-Based Systems, 177, 22\u201343. https:\/\/doi.org\/10.1016\/j.knosys.2019.04.001","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"537_CR56","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.bushor.2019.12.002","volume":"63","author":"C Campbell","year":"2020","unstructured":"Campbell, C., Sands, S., Ferraro, C., Tsao (Jody), H.-Y., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63(2), 227\u2013243. https:\/\/doi.org\/10.1016\/j.bushor.2019.12.002","journal-title":"Business Horizons"},{"issue":"5","key":"537_CR57","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1016\/j.im.2006.03.001","volume":"43","author":"Q Cao","year":"2006","unstructured":"Cao, Q., & Schniederjans, M. J. (2006). Agent-mediated architecture for reputation-based electronic tourism systems: A neural network approach. Information and Management, 43(5), 598\u2013606. https:\/\/doi.org\/10.1016\/j.im.2006.03.001","journal-title":"Information and Management"},{"issue":"1","key":"537_CR58","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.eswa.2006.04.012","volume":"33","author":"Y Cao","year":"2007","unstructured":"Cao, Y., & Li, Y. (2007). An intelligent fuzzy-based recommendation system for consumer electronic products. Expert Systems with Applications, 33(1), 230\u2013240. https:\/\/doi.org\/10.1016\/j.eswa.2006.04.012","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"537_CR59","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1080\/10919390701293972","volume":"17","author":"J Carb\u00f3","year":"2007","unstructured":"Carb\u00f3, J., Molina, J. M., & D\u00e1vila, J. (2007). Avoiding malicious agents in E-commerce using fuzzy recommendations. Journal of Organizational Computing and Electronic Commerce, 17(2), 101\u2013117. https:\/\/doi.org\/10.1080\/10919390701293972","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"21","key":"537_CR60","doi-asserted-by":"publisher","first-page":"4799","DOI":"10.1016\/j.ins.2007.05.009","volume":"177","author":"G Cardoso","year":"2007","unstructured":"Cardoso, G., & Gomide, F. (2007). Newspaper demand prediction and replacement model based on fuzzy clustering and rules. Information Sciences, 177(21), 4799\u20134809. https:\/\/doi.org\/10.1016\/j.ins.2007.05.009","journal-title":"Information Sciences"},{"key":"537_CR61","doi-asserted-by":"publisher","unstructured":"Castillo, P. A., Mora, A. M., Faris, H., Merelo, J. J., Garc\u00eda-S\u00e1nchez, P., Fern\u00e1ndez-Ares, A. J., De las Cuevas, P., & Garc\u00eda-Arenas, M. I. (2017). Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment. Knowledge-Based Systems, 115, 133\u2013151. https:\/\/doi.org\/10.1016\/j.knosys.2016.10.019","DOI":"10.1016\/j.knosys.2016.10.019"},{"key":"537_CR62","doi-asserted-by":"publisher","unstructured":"Chang, C. C., & Lin, C. J. (2011). LIBSVM: A Library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2(3). https:\/\/doi.org\/10.1145\/1961189.1961199","DOI":"10.1145\/1961189.1961199"},{"issue":"2","key":"537_CR63","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.elerap.2013.10.004","volume":"13","author":"J-S Chang","year":"2014","unstructured":"Chang, J.-S., & Chang, W.-H. (2014). Analysis of fraudulent behavior strategies in online auctions for detecting latent fraudsters. Electronic Commerce Research and Applications, 13(2), 79\u201397. https:\/\/doi.org\/10.1016\/j.elerap.2013.10.004","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR64","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.dss.2013.08.008","volume":"63","author":"RM Chang","year":"2014","unstructured":"Chang, R. M., Kauffman, R. J., & Kwon, Y. (2014). Understanding the paradigm shift to computational social science in the presence of big data. Decision Support Systems, 63, 67\u201380. https:\/\/doi.org\/10.1016\/j.dss.2013.08.008","journal-title":"Decision Support Systems"},{"issue":"1","key":"537_CR65","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1080\/10919390802605083","volume":"19","author":"SE Chang","year":"2009","unstructured":"Chang, S. E., & Jang, Y. T. (2009). Assessing customer satisfaction in a V-commerce environment. Journal of Organizational Computing and Electronic Commerce, 19(1), 30\u201349. https:\/\/doi.org\/10.1080\/10919390802605083","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"4","key":"537_CR66","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1016\/j.elerap.2012.02.005","volume":"11","author":"W-H Chang","year":"2012","unstructured":"Chang, W.-H., & Chang, J.-S. (2012). An effective early fraud detection method for online auctions. Electronic Commerce Research and Applications, 11(4), 346\u2013360. https:\/\/doi.org\/10.1016\/j.elerap.2012.02.005","journal-title":"Electronic Commerce Research and Applications"},{"issue":"8","key":"537_CR67","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1016\/j.knosys.2011.05.004","volume":"24","author":"W-L Chang","year":"2011","unstructured":"Chang, W.-L. (2011). iValue: A knowledge-based system for estimating customer prospect value. Knowledge-Based Systems, 24(8), 1181\u20131186. https:\/\/doi.org\/10.1016\/j.knosys.2011.05.004","journal-title":"Knowledge-Based Systems"},{"key":"537_CR68","doi-asserted-by":"publisher","unstructured":"Chaudhuri, N., Gupta, G., Vamsi, V., & Bose, I. (2021). On the platform but will they buy? Predicting customers\u2019 purchase behavior using deep learning. Decision Support Systems, 149, 113622.\u00a0https:\/\/doi.org\/10.1016\/j.dss.2021.113622","DOI":"10.1016\/j.dss.2021.113622"},{"key":"537_CR69","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1016\/j.knosys.2015.09.009","volume":"89","author":"CC Chen","year":"2015","unstructured":"Chen, C. C., & Chung, M.-C. (2015). Predicting the success of group buying auctions via classification. Knowledge-Based Systems, 89, 627\u2013640. https:\/\/doi.org\/10.1016\/j.knosys.2015.09.009","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"537_CR70","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.im.2016.06.010","volume":"54","author":"K Chen","year":"2017","unstructured":"Chen, K., Luo, P., & Wang, H. (2017). An influence framework on product word-of-mouth (WoM) measurement. Information and Management, 54(2), 228\u2013240. https:\/\/doi.org\/10.1016\/j.im.2016.06.010","journal-title":"Information and Management"},{"issue":"2","key":"537_CR71","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s11257-015-9155-5","volume":"25","author":"L Chen","year":"2015","unstructured":"Chen, L., Chen, G., & Wang, F. (2015). Recommender systems based on user reviews: The state of the art. User Modeling and User-Adapted Interaction, 25(2), 99\u2013154. https:\/\/doi.org\/10.1007\/s11257-015-9155-5","journal-title":"User Modeling and User-Adapted Interaction"},{"key":"537_CR72","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1016\/j.knosys.2013.05.006","volume":"50","author":"L Chen","year":"2013","unstructured":"Chen, L., & Wang, F. (2013). Preference-based clustering reviews for augmenting e-commerce recommendation. Knowledge-Based Systems, 50, 44\u201359. https:\/\/doi.org\/10.1016\/j.knosys.2013.05.006","journal-title":"Knowledge-Based Systems"},{"key":"537_CR73","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.ins.2011.09.013","volume":"220","author":"M-Y Chen","year":"2013","unstructured":"Chen, M.-Y. (2013). A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering. Information Sciences, 220, 180\u2013195. https:\/\/doi.org\/10.1016\/j.ins.2011.09.013","journal-title":"Information Sciences"},{"key":"537_CR74","doi-asserted-by":"publisher","unstructured":"Chen, M. Y., Kiciman, E., Fratkin, E., Fox, A., & Brewer, E. (2002). Pinpoint: Problem determination in large, dynamic internet services. Proceedings of the 2002 International Conference on Dependable Systems and Networks, 595\u2013604. https:\/\/doi.org\/10.1109\/DSN.2002.1029005","DOI":"10.1109\/DSN.2002.1029005"},{"key":"537_CR75","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2019.100889","volume":"38","author":"R Chen","year":"2019","unstructured":"Chen, R., Wang, Q., & Xu, W. (2019). Mining user requirements to facilitate mobile app quality upgrades with big data. Electronic Commerce Research and Applications, 38, 100889. https:\/\/doi.org\/10.1016\/j.elerap.2019.100889","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR76","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.dss.2018.02.008","volume":"108","author":"R Chen","year":"2018","unstructured":"Chen, R., Zheng, Y., Xu, W., Liu, M., & Wang, J. (2018). Secondhand seller reputation in online markets: A text analytics framework. Decision Support Systems, 108, 96\u2013106. https:\/\/doi.org\/10.1016\/j.dss.2018.02.008","journal-title":"Decision Support Systems"},{"key":"537_CR77","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.knosys.2011.08.021","volume":"26","author":"Y-S Chen","year":"2012","unstructured":"Chen, Y.-S. (2012). Classifying credit ratings for Asian banks using integrating feature selection and the CPDA-based rough sets approach. Knowledge-Based Systems, 26, 259\u2013270. https:\/\/doi.org\/10.1016\/j.knosys.2011.08.021","journal-title":"Knowledge-Based Systems"},{"issue":"6","key":"537_CR78","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1111\/deci.12048","volume":"44","author":"YL Chen","year":"2013","unstructured":"Chen, Y. L., Cheng, L. C., & Hsu, W. Y. (2013). A new approach to the group ranking problem: Finding consensus ordered segments from users\u2019 preference data. Decision Sciences, 44(6), 1091\u20131119. https:\/\/doi.org\/10.1111\/deci.12048","journal-title":"Decision Sciences"},{"issue":"6","key":"537_CR79","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.elerap.2014.10.001","volume":"13","author":"YL Chen","year":"2014","unstructured":"Chen, Y. L., Tang, K., Wu, C. C., & Jheng, R. Y. (2014). Predicting the influence of users\u2019 posted information for eWOM advertising in social networks. Electronic Commerce Research and Applications, 13(6), 431\u2013439. https:\/\/doi.org\/10.1016\/j.elerap.2014.10.001","journal-title":"Electronic Commerce Research and Applications"},{"issue":"2","key":"537_CR80","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/S0167-9236(02)00108-2","volume":"35","author":"KW Cheung","year":"2003","unstructured":"Cheung, K. W., Kwok, J. T., Law, M. H., & Tsui, K. C. (2003). Mining customer product ratings for personalized marketing. Decision Support Systems, 35(2), 231\u2013243. https:\/\/doi.org\/10.1016\/S0167-9236(02)00108-2","journal-title":"Decision Support Systems"},{"issue":"1","key":"537_CR81","first-page":"455","volume":"45","author":"M Chiarini Tremblay","year":"2021","unstructured":"Chiarini Tremblay, M., Kohli, R., & Forsgren, N. (2021). Theories in Flux: Reimagining Theory Building in the Age of Machine Learning. MIS Quarterly, 45(1), 455\u2013459.","journal-title":"MIS Quarterly"},{"issue":"3","key":"537_CR82","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/S0957-4174(02)00052-0","volume":"23","author":"YH Cho","year":"2002","unstructured":"Cho, Y. H., Kim, J. K., & Kim, S. H. (2002). A personalized recommender system based on web usage mining and decision tree induction. Expert Systems with Applications, 23(3), 329\u2013342. https:\/\/doi.org\/10.1016\/S0957-4174(02)00052-0","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"537_CR83","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.1016\/j.eswa.2012.08.067","volume":"40","author":"AY-L Chong","year":"2013","unstructured":"Chong, A.Y.-L. (2013a). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications, 40(4), 1240\u20131247. https:\/\/doi.org\/10.1016\/j.eswa.2012.08.067","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"537_CR84","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1016\/j.eswa.2012.07.068","volume":"40","author":"AYL Chong","year":"2013","unstructured":"Chong, A. Y. L. (2013b). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523\u2013530. https:\/\/doi.org\/10.1016\/j.eswa.2012.07.068","journal-title":"Expert Systems with Applications"},{"issue":"6","key":"537_CR85","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.im.2009.05.006","volume":"46","author":"TH Chou","year":"2009","unstructured":"Chou, T. H., & Seng, J. L. (2009). An intelligent multi-agent e-services method-An international telecommunication example. Information and Management, 46(6), 342\u2013350. https:\/\/doi.org\/10.1016\/j.im.2009.05.006","journal-title":"Information and Management"},{"issue":"4","key":"537_CR86","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/j.knosys.2006.08.004","volume":"20","author":"HKH Chow","year":"2007","unstructured":"Chow, H. K. H., Choy, K. L., & Lee, W. B. (2007). A dynamic logistics process knowledge-based system - An RFID multi-agent approach. Knowledge-Based Systems, 20(4), 357\u2013372. https:\/\/doi.org\/10.1016\/j.knosys.2006.08.004","journal-title":"Knowledge-Based Systems"},{"issue":"8","key":"537_CR87","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1016\/j.knosys.2006.10.003","volume":"20","author":"B-H Chu","year":"2007","unstructured":"Chu, B.-H., Tsai, M.-S., & Ho, C.-S. (2007). Toward a hybrid data mining model for customer retention. Knowledge-Based Systems, 20(8), 703\u2013718. https:\/\/doi.org\/10.1016\/j.knosys.2006.10.003","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"537_CR88","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.ijinfomgt.2014.01.001","volume":"34","author":"W Chung","year":"2014","unstructured":"Chung, W. (2014). BizPro: Extracting and categorizing business intelligence factors from textual news articles. International Journal of Information Management, 34(2), 272\u2013284. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2014.01.001","journal-title":"International Journal of Information Management"},{"issue":"5","key":"537_CR89","doi-asserted-by":"publisher","first-page":"1103","DOI":"10.17705\/1jais.00630","volume":"21","author":"WA Cram","year":"2020","unstructured":"Cram, W. A., Templier, M., & Par\u00e9, G. (2020). (Re)considering the concept of literature review reproducibility. Journal of the Association for Information Systems, 21(5), 1103\u20131114. https:\/\/doi.org\/10.17705\/1jais.00630","journal-title":"Journal of the Association for Information Systems"},{"issue":"4","key":"537_CR90","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1287\/mnsc.1060.0514","volume":"52","author":"G Cui","year":"2006","unstructured":"Cui, G., Wong, M. L., & Lui, H. K. (2006). Machine learning for direct marketing response models: Bayesian networks with evolutionary programming. Management Science, 52(4), 597\u2013612. https:\/\/doi.org\/10.1287\/mnsc.1060.0514","journal-title":"Management Science"},{"key":"537_CR91","doi-asserted-by":"publisher","first-page":"1279","DOI":"10.1016\/j.ins.2019.10.038","volume":"512","author":"Da\u2019u, A., Salim, N., Rabiu, I., & O","year":"2020","unstructured":"Da\u2019u, A., Salim, N., Rabiu, I., & Osman, A. (2020). Recommendation system exploiting aspect-based opinion mining with deep learning method. Information Sciences, 512, 1279\u20131292. https:\/\/doi.org\/10.1016\/j.ins.2019.10.038","journal-title":"Information Sciences"},{"issue":"9","key":"537_CR92","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1287\/mnsc.1070.0704","volume":"53","author":"SR Das","year":"2007","unstructured":"Das, S. R., & Chen, M. Y. (2007). Yahoo! for amazon: Sentiment extraction from small talk on the Web. Management Science, 53(9), 1375\u20131388. https:\/\/doi.org\/10.1287\/mnsc.1070.0704","journal-title":"Management Science"},{"issue":"7","key":"537_CR93","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.knosys.2005.05.001","volume":"18","author":"M Dastani","year":"2005","unstructured":"Dastani, M., Jacobs, N., Jonker, C. M., & Treur, J. (2005). Modelling user preferences and mediating agents in electronic commerce. Knowledge-Based Systems, 18(7), 335\u2013352. https:\/\/doi.org\/10.1016\/j.knosys.2005.05.001","journal-title":"Knowledge-Based Systems"},{"issue":"4","key":"537_CR94","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MIC.2006.74","volume":"10","author":"S Datta","year":"2006","unstructured":"Datta, S., Bhaduri, K., Giannella, C., Wolff, R., & Kargupta, H. (2006). Distributed Data Mining in Peer-to-Peer Networks. IEEE Internet Computing, 10(4), 18\u201326. https:\/\/doi.org\/10.1109\/MIC.2006.74","journal-title":"IEEE Internet Computing"},{"key":"537_CR95","doi-asserted-by":"publisher","unstructured":"Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24\u201342. https:\/\/doi.org\/10.1007\/s11747-019-00696-0","DOI":"10.1007\/s11747-019-00696-0"},{"key":"537_CR96","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113193","volume":"147","author":"A de Barcelos Silva","year":"2020","unstructured":"de Barcelos Silva, A., Gomes, M. M., da Costa, C. A., da Rosa Righi, R., Barbosa, J. L. V., Pessin, G., De Doncker, G., & Federizzi, G. (2020). Intelligent personal assistants: A systematic literature review. Expert Systems with Applications, 147, 113193. https:\/\/doi.org\/10.1016\/j.eswa.2020.113193","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"537_CR97","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.jretai.2019.12.004","volume":"96","author":"E de Bellis","year":"2020","unstructured":"de Bellis, E., & Venkataramani Johar, G. (2020). Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption. Journal of Retailing, 96(1), 74\u201387. https:\/\/doi.org\/10.1016\/j.jretai.2019.12.004","journal-title":"Journal of Retailing"},{"key":"537_CR98","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.patrec.2017.06.011","volume":"99","author":"B De Carolis","year":"2017","unstructured":"De Carolis, B., de Gemmis, M., Lops, P., & Palestra, G. (2017). Recognizing users feedback from non-verbal communicative acts in conversational recommender systems. Pattern Recognition Letters, 99, 87\u201395.","journal-title":"Pattern Recognition Letters"},{"key":"537_CR99","doi-asserted-by":"publisher","unstructured":"De Smedt, J., Lacka, E., Nita, S., Kohls, H. H., & Paton, R. (2021). Session stitching using sequence fingerprinting for web page visits. Decision Support Systems, 150, 113579. https:\/\/doi.org\/10.1016\/j.dss.2021.113579","DOI":"10.1016\/j.dss.2021.113579"},{"issue":"4","key":"537_CR100","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.ijresmar.2010.09.001","volume":"27","author":"R Decker","year":"2010","unstructured":"Decker, R., & Trusov, M. (2010). Estimating aggregate consumer preferences from online product reviews. International Journal of Research in Marketing, 27(4), 293\u2013307. https:\/\/doi.org\/10.1016\/j.ijresmar.2010.09.001","journal-title":"International Journal of Research in Marketing"},{"issue":"4","key":"537_CR101","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1080\/00913367.2019.1652121","volume":"48","author":"S Deng","year":"2019","unstructured":"Deng, S., Tan, C. W., Wang, W., & Pan, Y. (2019). Smart Generation System of Personalized Advertising Copy and Its Application to Advertising Practice and Research. Journal of Advertising, 48(4), 356\u2013365. https:\/\/doi.org\/10.1080\/00913367.2019.1652121","journal-title":"Journal of Advertising"},{"key":"537_CR102","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1016\/j.ins.2020.05.094","volume":"540","author":"M Dong","year":"2020","unstructured":"Dong, M., Zeng, X., Koehl, L., & Zhang, J. (2020). An interactive knowledge-based recommender system for fashion product design in the big data environment. Information Sciences, 540, 469\u2013488. https:\/\/doi.org\/10.1016\/j.ins.2020.05.094","journal-title":"Information Sciences"},{"key":"537_CR103","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ijinfomgt.2019.01.021","volume":"48","author":"Y Duan","year":"2019","unstructured":"Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data \u2013 evolution, challenges and research agenda. International Journal of Information Management, 48, 63\u201371. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2019.01.021","journal-title":"International Journal of Information Management"},{"key":"537_CR104","doi-asserted-by":"publisher","unstructured":"Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, Medaglia, R., Le Meunier-FitzHugh, K., Le Meunier-FitzHugh, L. C., Misra, S., Mogaji, E., Sharma, S. K., Bahadur Singh, J., Raghavan, V., Raman, R., P. Rana, N., Samothrakis, S., Spencer, J., Tamilmani, K., Tubadji, A. Walton, P., & Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 101994. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2019.08.002","DOI":"10.1016\/j.ijinfomgt.2019.08.002"},{"key":"537_CR105","doi-asserted-by":"publisher","unstructured":"Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2020). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 102168. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2020.102168","DOI":"10.1016\/j.ijinfomgt.2020.102168"},{"issue":"3","key":"537_CR106","doi-asserted-by":"publisher","first-page":"145","DOI":"10.5267\/j.ijdns.2019.2.007","volume":"3","author":"HJ Esfahani","year":"2019","unstructured":"Esfahani, H. J., Tavasoli, K., & Jabbarzadeh, A. (2019). Big data and social media: A scientometrics analysis. International Journal of Data and Network Science, 3(3), 145\u2013164. https:\/\/doi.org\/10.5267\/j.ijdns.2019.2.007","journal-title":"International Journal of Data and Network Science"},{"key":"537_CR107","doi-asserted-by":"publisher","unstructured":"Esmeli, R., Bader-El-Den, M., & Abdullahi, H. (2021). Towards early purchase intention prediction in online session based retailing systems. Electronic Markets, 31(3). https:\/\/doi.org\/10.1007\/s12525-020-00448-x","DOI":"10.1007\/s12525-020-00448-x"},{"key":"537_CR108","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.elerap.2018.06.004","volume":"30","author":"H Fang","year":"2018","unstructured":"Fang, H., Zhang, J., & \u015eensoy, M. (2018). A generalized stereotype learning approach and its instantiation in trust modeling. Electronic Commerce Research and Applications, 30, 149\u2013158. https:\/\/doi.org\/10.1016\/j.elerap.2018.06.004","journal-title":"Electronic Commerce Research and Applications"},{"issue":"1","key":"537_CR109","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1287\/isre.1120.0461","volume":"24","author":"X Fang","year":"2013","unstructured":"Fang, X., Hu, P. J. H., Li, Z. L., & Tsai, W. (2013). Predicting adoption probabilities in social networks. Information Systems Research, 24(1), 128\u2013145. https:\/\/doi.org\/10.1287\/isre.1120.0461","journal-title":"Information Systems Research"},{"issue":"16","key":"537_CR110","doi-asserted-by":"publisher","first-page":"3411","DOI":"10.1016\/j.ins.2011.04.014","volume":"181","author":"M Fasli","year":"2011","unstructured":"Fasli, M., & Kovalchuk, Y. (2011). Learning approaches for developing successful seller strategies in dynamic supply chain management. Information Sciences, 181(16), 3411\u20133426. https:\/\/doi.org\/10.1016\/j.ins.2011.04.014","journal-title":"Information Sciences"},{"key":"537_CR111","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.knosys.2019.02.002","volume":"171","author":"S Feng","year":"2019","unstructured":"Feng, S., Zhang, H., Wang, L., Liu, L., & Xu, Y. (2019). Detecting the latent associations hidden in multi-source information for better group recommendation. Knowledge-Based Systems, 171, 56\u201368. https:\/\/doi.org\/10.1016\/j.knosys.2019.02.002","journal-title":"Knowledge-Based Systems"},{"key":"537_CR112","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.knosys.2014.07.007","volume":"70","author":"E Ferrara","year":"2014","unstructured":"Ferrara, E., De Meo, P., Fiumara, G., & Baumgartner, R. (2014). Web data extraction, applications and techniques: A survey. Knowledge-Based Systems, 70, 301\u2013323. https:\/\/doi.org\/10.1016\/j.knosys.2014.07.007","journal-title":"Knowledge-Based Systems"},{"key":"537_CR113","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1016\/j.ins.2017.12.030","volume":"479","author":"U Fiore","year":"2019","unstructured":"Fiore, U., De Santis, A., Perla, F., Zanetti, P., & Palmieri, F. (2019). Using generative adversarial networks for improving classification effectiveness in credit card fraud detection. Information Sciences, 479, 448\u2013455. https:\/\/doi.org\/10.1016\/j.ins.2017.12.030","journal-title":"Information Sciences"},{"key":"537_CR114","doi-asserted-by":"publisher","unstructured":"Fosso Wamba, S. (2020). Humanitarian supply chain: a bibliometric analysis and future research directions. Annals of Operations Research, 1\u201327. https:\/\/doi.org\/10.1007\/s10479-020-03594-9","DOI":"10.1007\/s10479-020-03594-9"},{"issue":"5","key":"537_CR115","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2001","unstructured":"Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5), 1189\u20131232. https:\/\/doi.org\/10.1214\/aos\/1013203451","journal-title":"Annals of Statistics"},{"issue":"7","key":"537_CR116","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1016\/j.knosys.2006.03.006","volume":"19","author":"B Galitsky","year":"2006","unstructured":"Galitsky, B. (2006). Reasoning about attitudes of complaining customers. Knowledge-Based Systems, 19(7), 592\u2013615. https:\/\/doi.org\/10.1016\/j.knosys.2006.03.006","journal-title":"Knowledge-Based Systems"},{"key":"537_CR117","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.ins.2020.03.058","volume":"531","author":"Q Geng","year":"2020","unstructured":"Geng, Q., Deng, S., Jia, D., & Jin, J. (2020). Cross-domain ontology construction and alignment from online customer product reviews. Information Sciences, 531, 47\u201367. https:\/\/doi.org\/10.1016\/j.ins.2020.03.058","journal-title":"Information Sciences"},{"key":"537_CR118","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.elerap.2016.10.002","volume":"20","author":"M Ghavipour","year":"2016","unstructured":"Ghavipour, M., & Meybodi, M. R. (2016). An adaptive fuzzy recommender system based on learning automata. Electronic Commerce Research and Applications, 20, 105\u2013115. https:\/\/doi.org\/10.1016\/j.elerap.2016.10.002","journal-title":"Electronic Commerce Research and Applications"},{"issue":"4","key":"537_CR119","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1080\/07421222.2016.1267526","volume":"33","author":"M Ghiassi","year":"2016","unstructured":"Ghiassi, M., Zimbra, D., & Lee, S. (2016). Targeted Twitter Sentiment Analysis for Brands Using Supervised Feature Engineering and the Dynamic Architecture for Artificial Neural Networks. Journal of Management Information Systems, 33(4), 1034\u20131058. https:\/\/doi.org\/10.1080\/07421222.2016.1267526","journal-title":"Journal of Management Information Systems"},{"issue":"10","key":"537_CR120","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1109\/TKDE.2010.188","volume":"23","author":"A Ghose","year":"2011","unstructured":"Ghose, A., & Ipeirotis, P. G. (2011). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498\u20131512. https:\/\/doi.org\/10.1109\/TKDE.2010.188","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"3","key":"537_CR121","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.ijresmar.2019.01.005","volume":"36","author":"K Gielens","year":"2019","unstructured":"Gielens, K., & Steenkamp, J.-B.E.M. (2019). Branding in the era of digital (dis)intermediation. International Journal of Research in Marketing, 36(3), 367\u2013384. https:\/\/doi.org\/10.1016\/j.ijresmar.2019.01.005","journal-title":"International Journal of Research in Marketing"},{"key":"537_CR122","doi-asserted-by":"publisher","first-page":"333","DOI":"10.3389\/fnins.2016.00333","volume":"10","author":"T Gokmen","year":"2016","unstructured":"Gokmen, T., & Vlasov, Y. (2016). Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations. Frontiers in Neuroscience, 10, 333. https:\/\/doi.org\/10.3389\/fnins.2016.00333","journal-title":"Frontiers in Neuroscience"},{"issue":"12","key":"537_CR123","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1145\/138859.138867","volume":"35","author":"D Goldberg","year":"1992","unstructured":"Goldberg, D., Nichols, D., Oki, B. M., & Terry, D. (1992). Using collaborative filtering to Weave an Information tapestry. Communications of the ACM, 35(12), 61\u201370. https:\/\/doi.org\/10.1145\/138859.138867","journal-title":"Communications of the ACM"},{"issue":"2","key":"537_CR124","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1023\/A:1011419012209","volume":"4","author":"K Goldberg","year":"2001","unstructured":"Goldberg, K., Roeder, T., Gupta, D., & Perkins, C. (2001). Eigentaste: A Constant Time Collaborative Filtering Algorithm. Information Retrieval, 4(2), 133\u2013151. https:\/\/doi.org\/10.1023\/A:1011419012209","journal-title":"Information Retrieval"},{"key":"537_CR125","doi-asserted-by":"publisher","unstructured":"Gong, J., Abhishek, V., & Li, B. (2018). Examining the impact of keyword ambiguity on search advertising performance: A topic model approach. MIS Quarterly, 42(3), 805\u2013829. https:\/\/doi.org\/10.25300\/MISQ\/2018\/14042","DOI":"10.25300\/MISQ\/2018\/14042"},{"key":"537_CR126","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2018.02.026","volume":"150","author":"A Greenstein-Messica","year":"2018","unstructured":"Greenstein-Messica, A., & Rokach, L. (2018). Personal price aware multi-seller recommender system: Evidence from eBay. Knowledge-Based Systems, 150, 14\u201326. https:\/\/doi.org\/10.1016\/j.knosys.2018.02.026","journal-title":"Knowledge-Based Systems"},{"key":"537_CR127","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2019.100914","volume":"40","author":"A Greenstein-Messica","year":"2020","unstructured":"Greenstein-Messica, A., & Rokach, L. (2020). Machine learning and operation research based method for promotion optimization of products with no price elasticity history. Electronic Commerce Research and Applications, 40, 100914. https:\/\/doi.org\/10.1016\/j.elerap.2019.100914","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR128","doi-asserted-by":"publisher","unstructured":"Griggs, K., & Wild, R. (2003). Intelligent support for sophisticated e-commerce services: An agent-based auction framework modeled after the New York stock exchange specialist system. E-Service Journal, 2(2), 87\u2013104. https:\/\/doi.org\/10.2979\/esj.2003.2.2.87","DOI":"10.2979\/esj.2003.2.2.87"},{"key":"537_CR129","doi-asserted-by":"publisher","unstructured":"Gr\u00f8nsund, T., & Aanestad, M. (2020). Augmenting the algorithm: Emerging human-in-the-loop work configurations. Journal of Strategic Information Systems, 29(2). https:\/\/doi.org\/10.1016\/j.jsis.2020.101614","DOI":"10.1016\/j.jsis.2020.101614"},{"key":"537_CR130","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.ins.2017.07.027","volume":"417","author":"X Gu","year":"2017","unstructured":"Gu, X., Wu, S., Peng, P., Shou, L., Chen, K., & Chen, G. (2017). CSIR4G: An effective and efficient cross-scenario image retrieval model for glasses. Information Sciences, 417, 310\u2013327. https:\/\/doi.org\/10.1016\/j.ins.2017.07.027","journal-title":"Information Sciences"},{"issue":"1","key":"537_CR131","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1080\/10919392.2014.866505","volume":"24","author":"J Guan","year":"2014","unstructured":"Guan, J., Shi, D., Zurada, J. M., & Levitan, A. S. (2014). Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration. Journal of Organizational Computing and Electronic Commerce, 24(1), 94\u2013112. https:\/\/doi.org\/10.1080\/10919392.2014.866505","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"4","key":"537_CR132","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/j.elerap.2005.07.002","volume":"4","author":"S-U Guan","year":"2005","unstructured":"Guan, S.-U., Chan, T. K., & Zhu, F. (2005). Evolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis. Electronic Commerce Research and Applications, 4(4), 377\u2013394. https:\/\/doi.org\/10.1016\/j.elerap.2005.07.002","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR133","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.dss.2019.01.003","volume":"118","author":"Y Guan","year":"2019","unstructured":"Guan, Y., Wei, Q., & Chen, G. (2019). Deep learning based personalized recommendation with multi-view information integration. Decision Support Systems, 118, 58\u201369. https:\/\/doi.org\/10.1016\/j.dss.2019.01.003","journal-title":"Decision Support Systems"},{"issue":"6","key":"537_CR134","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1111\/deci.12246","volume":"48","author":"D Gunnec","year":"2017","unstructured":"Gunnec, D., & Raghavan, S. (2017). Integrating Social Network Effects in the Share-Of-Choice Problem. Decision Sciences, 48(6), 1098\u20131131. https:\/\/doi.org\/10.1111\/deci.12246","journal-title":"Decision Sciences"},{"key":"537_CR135","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.knosys.2017.10.005","volume":"138","author":"G Guo","year":"2017","unstructured":"Guo, G., Qiu, H., Tan, Z., Liu, Y., Ma, J., & Wang, X. (2017a). Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems. Knowledge-Based Systems, 138, 202\u2013207. https:\/\/doi.org\/10.1016\/j.knosys.2017.10.005","journal-title":"Knowledge-Based Systems"},{"key":"537_CR136","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.knosys.2013.12.007","volume":"57","author":"G Guo","year":"2014","unstructured":"Guo, G., Zhang, J., & Thalmann, D. (2014). Merging trust in collaborative filtering to alleviate data sparsity and cold start. Knowledge-Based Systems, 57, 57\u201368. https:\/\/doi.org\/10.1016\/j.knosys.2013.12.007","journal-title":"Knowledge-Based Systems"},{"key":"537_CR137","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.knosys.2017.01.027","volume":"122","author":"G Guo","year":"2017","unstructured":"Guo, G., Zhang, J., Zhu, F., & Wang, X. (2017b). Factored similarity models with social trust for top-N item recommendation. Knowledge-Based Systems, 122, 17\u201325. https:\/\/doi.org\/10.1016\/j.knosys.2017.01.027","journal-title":"Knowledge-Based Systems"},{"issue":"1","key":"537_CR138","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1111\/deci.12118","volume":"46","author":"H Guo","year":"2015","unstructured":"Guo, H., Pathak, P., & Cheng, H. K. (2015). Estimating Social Influences from Social Networking Sites-Articulated Friendships versus Communication Interactions. Decision Sciences, 46(1), 135\u2013163. https:\/\/doi.org\/10.1111\/deci.12118","journal-title":"Decision Sciences"},{"key":"537_CR139","doi-asserted-by":"publisher","unstructured":"Guo, X., Wei, Q., Chen, G., Zhang, J., & Qiao, D. (2017). Extracting representative information on intra-organizational blogging platforms. MIS Quarterly, 41(4), 1105\u20131127. https:\/\/doi.org\/10.25300\/MISQ\/2017\/41.4.05","DOI":"10.25300\/MISQ\/2017\/41.4.05"},{"key":"537_CR140","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105756","volume":"196","author":"S Gupta","year":"2020","unstructured":"Gupta, S., & Kant, V. (2020). Credibility score based multi-criteria recommender system. Knowledge-Based Systems, 196, 105756. https:\/\/doi.org\/10.1016\/j.knosys.2020.105756","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"537_CR141","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1017\/S0269888998002082","volume":"13","author":"RH Guttman","year":"1998","unstructured":"Guttman, R. H., Moukas, A. G., & Maes, P. (1998). Agent-mediated electronic commerce: A survey. Knowledge Engineering Review, 13(2), 147\u2013159. https:\/\/doi.org\/10.1017\/S0269888998002082","journal-title":"Knowledge Engineering Review"},{"issue":"2","key":"537_CR142","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1080\/10919390902821218","volume":"19","author":"SH Ha","year":"2009","unstructured":"Ha, S. H., & Lee, J. H. (2009). Dynamic dissemination of personalized content on the web. Journal of Organizational Computing and Electronic Commerce, 19(2), 96\u2013111. https:\/\/doi.org\/10.1080\/10919390902821218","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"3","key":"537_CR143","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1002\/jsc.2196","volume":"27","author":"H Hamad","year":"2018","unstructured":"Hamad, H., Elbeltagi, I., & El-Gohary, H. (2018). An empirical investigation of business-to-business e-commerce adoption and its impact on SMEs competitive advantage: The case of Egyptian manufacturing SMEs. Strategic Change, 27(3), 209\u2013229. https:\/\/doi.org\/10.1002\/jsc.2196","journal-title":"Strategic Change"},{"key":"537_CR144","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1016\/j.ins.2019.07.024","volume":"503","author":"J Han","year":"2019","unstructured":"Han, J., Zheng, L., Huang, H., Xu, Y., Yu, P. S., & Zuo, W. (2019). Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems. Information Sciences, 503, 521\u2013532. https:\/\/doi.org\/10.1016\/j.ins.2019.07.024","journal-title":"Information Sciences"},{"issue":"4","key":"537_CR145","first-page":"1","volume":"5","author":"J Han","year":"2001","unstructured":"Han, J., Kamber, M., & Pei, J. (2001). Data mining: Concepts and technologies. Data Mining Concepts Models Methods & Algorithms, 5(4), 1\u201318.","journal-title":"Data Mining Concepts Models Methods & Algorithms"},{"issue":"3","key":"537_CR146","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1023\/A:1011196000674","volume":"11","author":"U Hanani","year":"2001","unstructured":"Hanani, U., Shapira, B., & Shoval, P. (2001). Information filtering: Overview of issues, research and systems. User Modeling and User-Adapted Interaction, 11(3), 203\u2013259. https:\/\/doi.org\/10.1023\/A:1011196000674","journal-title":"User Modeling and User-Adapted Interaction"},{"issue":"6","key":"537_CR147","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1109\/MSP.2015.2462851","volume":"32","author":"JHL Hansen","year":"2015","unstructured":"Hansen, J. H. L., & Hasan, T. (2015). Speaker recognition by machines and humans: A tutorial review. IEEE Signal Processing Magazine, 32(6), 74\u201399. https:\/\/doi.org\/10.1109\/MSP.2015.2462851","journal-title":"IEEE Signal Processing Magazine"},{"key":"537_CR148","doi-asserted-by":"crossref","unstructured":"Hassan, N. R., & Loebbecke, C. (2017). Engaging scientometrics in information systems. Journal of Information Technology, 32(1), 85\u2013109.","DOI":"10.1057\/jit.2015.29"},{"key":"537_CR149","doi-asserted-by":"publisher","unstructured":"He, J., Fang, X., Liu, H., & Li, X. (2019). Mobile app recommendation: An involvement-enhanced approach. MIS Quarterly, 43(3), 827\u2013850. https:\/\/doi.org\/10.25300\/MISQ\/2019\/15049","DOI":"10.25300\/MISQ\/2019\/15049"},{"issue":"2","key":"537_CR150","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1080\/10919392.2018.1444350","volume":"28","author":"W He","year":"2018","unstructured":"He, W., Zhang, Z., & Akula, V. (2018). Comparing consumer-produced product reviews across multiple websites with sentiment classification. Journal of Organizational Computing and Electronic Commerce, 28(2), 142\u2013156. https:\/\/doi.org\/10.1080\/10919392.2018.1444350","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"key":"537_CR151","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.ins.2020.05.071","volume":"536","author":"J Herce-Zelaya","year":"2020","unstructured":"Herce-Zelaya, J., Porcel, C., Bernab\u00e9-Moreno, J., Tejeda-Lorente, A., & Herrera-Viedma, E. (2020). New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Information Sciences, 536, 156\u2013170. https:\/\/doi.org\/10.1016\/j.ins.2020.05.071","journal-title":"Information Sciences"},{"issue":"1","key":"537_CR152","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL Herlocker","year":"2004","unstructured":"Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004). Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22(1), 5\u201353. https:\/\/doi.org\/10.1145\/963770.963772","journal-title":"ACM Transactions on Information Systems"},{"key":"537_CR153","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.ins.2016.10.009","volume":"376","author":"A Hernando","year":"2017","unstructured":"Hernando, A., Bobadilla, J., Ortega, F., & Guti\u00e9rrez, A. (2017). A probabilistic model for recommending to new cold-start non-registered users. Information Sciences, 376, 216\u2013232. https:\/\/doi.org\/10.1016\/j.ins.2016.10.009","journal-title":"Information Sciences"},{"issue":"3","key":"537_CR154","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1093\/JEC1086-4415150304","volume":"15","author":"S Hill","year":"2011","unstructured":"Hill, S., & Ready-Campbell, N. (2011). Expert Stock Picker: The Wisdom of (Experts in) Crowds. International Journal of Electronic Commerce, 15(3), 73\u2013102. https:\/\/doi.org\/10.1093\/JEC1086-4415150304","journal-title":"International Journal of Electronic Commerce"},{"key":"537_CR155","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1016\/j.ins.2018.04.004","volume":"467","author":"TVR Himabindu","year":"2018","unstructured":"Himabindu, T. V. R., Padmanabhan, V., & Pujari, A. K. (2018). Conformal matrix factorization based recommender system. Information Sciences, 467, 685\u2013707. https:\/\/doi.org\/10.1016\/j.ins.2018.04.004","journal-title":"Information Sciences"},{"issue":"1","key":"537_CR156","doi-asserted-by":"publisher","first-page":"51","DOI":"10.3390\/educsci9010051","volume":"9","author":"FJ Hinojo-Lucena","year":"2019","unstructured":"Hinojo-Lucena, F. J., Aznar-D\u00edaz, I., C\u00e1ceres-Reche, M. P., & Romero-Rodr\u00edguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https:\/\/doi.org\/10.3390\/educsci9010051","journal-title":"Education Sciences"},{"issue":"3","key":"537_CR157","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1007\/s11192-010-0193-9","volume":"85","author":"JE Hirsch","year":"2010","unstructured":"Hirsch, J. E. (2010). An index to quantify an individual\u2019s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics, 85(3), 741\u2013754. https:\/\/doi.org\/10.1007\/s11192-010-0193-9","journal-title":"Scientometrics"},{"issue":"1","key":"537_CR158","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s12525-019-00336-z","volume":"29","author":"R Hirt","year":"2019","unstructured":"Hirt, R., K\u00fchl, N., & Satzger, G. (2019). Cognitive computing for customer profiling: Meta classification for gender prediction. Electronic Markets, 29(1), 93\u2013106. https:\/\/doi.org\/10.1007\/s12525-019-00336-z","journal-title":"Electronic Markets"},{"issue":"4","key":"537_CR159","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1111\/deci.12146","volume":"46","author":"A Hogenboom","year":"2015","unstructured":"Hogenboom, A., Ketter, W., van Dalen, J., Kaymak, U., Collins, J., & Gupta, A. (2015). Adaptive Tactical Pricing in Multi-Agent Supply Chain Markets Using Economic Regimes. Decision Sciences, 46(4), 791\u2013818. https:\/\/doi.org\/10.1111\/deci.12146","journal-title":"Decision Sciences"},{"issue":"3","key":"537_CR160","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1207\/S15327744JOCE1003_01","volume":"10","author":"CW Holsapple","year":"2000","unstructured":"Holsapple, C. W., & Singh, M. (2000). Electronic commerce: From a definitional taxonomy toward a knowledge-management view. Journal of Organizational Computing and Electronic Commerce, 10(3), 149\u2013170. https:\/\/doi.org\/10.1207\/S15327744JOCE1003_01","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"3","key":"537_CR161","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1080\/07421222.2004.11045812","volume":"21","author":"W Hong","year":"2004","unstructured":"Hong, W., Thong, J. Y. L., & Tam, K. Y. (2004). The effects of information format and shopping task on consumers\u2019 online shopping behavior: A cognitive fit perspective. Journal of Management Information Systems, 21(3), 149\u2013184. https:\/\/doi.org\/10.1080\/07421222.2004.11045812","journal-title":"Journal of Management Information Systems"},{"issue":"2","key":"537_CR162","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s12525-018-0307-4","volume":"29","author":"J Hopkins","year":"2019","unstructured":"Hopkins, J., Kafali, \u00d6., Alrayes, B., & Stathis, K. (2019). Pirasa: Strategic protocol selection for e-commerce agents. Electronic Markets, 29(2), 239\u2013252. https:\/\/doi.org\/10.1007\/s12525-018-0307-4","journal-title":"Electronic Markets"},{"key":"537_CR163","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.ins.2014.06.043","volume":"284","author":"Y-C Hu","year":"2014","unstructured":"Hu, Y.-C. (2014). Recommendation using neighborhood methods with preference-relation-based similarity. Information Sciences, 284, 18\u201330. https:\/\/doi.org\/10.1016\/j.ins.2014.06.043","journal-title":"Information Sciences"},{"issue":"1","key":"537_CR164","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3239\/s11747-020-00749-9","volume":"49","author":"M-H Huang","year":"2021","unstructured":"Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30\u201350. https:\/\/doi.org\/10.3239\/s11747-020-00749-9","journal-title":"Journal of the Academy of Marketing Science"},{"issue":"2","key":"537_CR165","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1177\/1094670517752459","volume":"21","author":"MH Huang","year":"2018","unstructured":"Huang, M. H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155\u2013172. https:\/\/doi.org\/10.1177\/1094670517752459","journal-title":"Journal of Service Research"},{"key":"537_CR166","doi-asserted-by":"publisher","unstructured":"Huang, M. H., & Rust, R. T. (2020). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30\u201341. https:\/\/doi.org\/10.1177\/1094670520902266","DOI":"10.1177\/1094670520902266"},{"issue":"5","key":"537_CR167","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/MIS.2007.4338497","volume":"22","author":"Z Huang","year":"2007","unstructured":"Huang, Z., Zeng, D., & Chen, H. (2007). A comparison of collaborative-filtering algorithms for ecommerce. IEEE Intelligent Systems, 22(5), 68\u201378. https:\/\/doi.org\/10.1109\/MIS.2007.4338497","journal-title":"IEEE Intelligent Systems"},{"issue":"4","key":"537_CR168","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1177\/0268396220926511","volume":"35","author":"M Huysman","year":"2020","unstructured":"Huysman, M. (2020). Information systems research on artificial intelligence and work: A commentary on \u201cRobo-Apocalypse cancelled? Reframing the automation and future of work debate.\u201d Journal of Information Technology, 35(4), 307\u2013309. https:\/\/doi.org\/10.1177\/0268396220926511","journal-title":"Journal of Information Technology"},{"key":"537_CR169","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2020.113250","volume":"131","author":"A Iovine","year":"2020","unstructured":"Iovine, A., Narducci, F., & Semeraro, G. (2020). Conversational Recommender Systems and natural language: A study through the ConveRSE framework. Decision Support Systems, 131, 113250. https:\/\/doi.org\/10.1016\/j.dss.2020.113250","journal-title":"Decision Support Systems"},{"issue":"3","key":"537_CR170","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.eij.2015.06.005","volume":"16","author":"FO Isinkaye","year":"2015","unstructured":"Isinkaye, F. O., Folajimi, Y. O., & Ojokoh, B. A. (2015). Recommendation systems: Principles, methods and evaluation. Egyptian Informatics Journal, 16(3), 261\u2013273. https:\/\/doi.org\/10.1016\/j.eij.2015.06.005","journal-title":"Egyptian Informatics Journal"},{"issue":"2","key":"537_CR171","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/S1567-4223(02)00010-8","volume":"1","author":"T Ito","year":"2002","unstructured":"Ito, T., Hattori, H., & Shintani, T. (2002). A cooperative exchanging mechanism among seller agents for group-based sales. Electronic Commerce Research and Applications, 1(2), 138\u2013149. https:\/\/doi.org\/10.1016\/S1567-4223(02)00010-8","journal-title":"Electronic Commerce Research and Applications"},{"issue":"2","key":"537_CR172","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1080\/10919392.2018.1444340","volume":"28","author":"J Iwa\u0144ski","year":"2018","unstructured":"Iwa\u0144ski, J., Suchacka, G., & Chodak, G. (2018). Application of the Information Bottleneck method to discover user profiles in a Web store. Journal of Organizational Computing and Electronic Commerce, 28(2), 98\u2013121. https:\/\/doi.org\/10.1080\/10919392.2018.1444340","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"5","key":"537_CR173","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3453154","volume":"54","author":"D Jannach","year":"2021","unstructured":"Jannach, D., Manzoor, A., Cai, W., & Chen, L. (2021). A Survey on Conversational Recommender Systems. ACM Computing Surveys (CSUR), 54(5), 1\u201336.","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"3\u20134","key":"537_CR174","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1207\/s15327744joce133&4_03","volume":"13","author":"WS Jeong","year":"2003","unstructured":"Jeong, W. S., Han, S. G., & Jo, G. S. (2003). Intelligent Cyber Logistics Using Reverse Auction in Electronic Commerce. Journal of Organizational Computing and Electronic Commerce, 13(3\u20134), 191\u2013209. https:\/\/doi.org\/10.1207\/s15327744joce133&4_03","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"4","key":"537_CR175","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2019.103207","volume":"57","author":"A Jeyaraj","year":"2020","unstructured":"Jeyaraj, A., & Zadeh, A. H. (2020). Evolution of information systems research: Insights from topic modeling. Information & Management, 57(4), 103207. https:\/\/doi.org\/10.1016\/j.im.2019.103207","journal-title":"Information & Management"},{"key":"537_CR176","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.knosys.2015.03.008","volume":"83","author":"K Ji","year":"2015","unstructured":"Ji, K., & Shen, H. (2015). Addressing cold-start: Scalable recommendation with tags and keywords. Knowledge-Based Systems, 83, 42\u201350. https:\/\/doi.org\/10.1016\/j.knosys.2015.03.008","journal-title":"Knowledge-Based Systems"},{"key":"537_CR177","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1016\/j.ins.2020.05.084","volume":"536","author":"S Ji","year":"2020","unstructured":"Ji, S., & juan, Zhang, Q., Li, J., Chiu, D. K. W., Xu, S., Yi, L., & Gong, M. (2020). A burst-based unsupervised method for detecting review spammer groups. Information Sciences, 536, 454\u2013469. https:\/\/doi.org\/10.1016\/j.ins.2020.05.084","journal-title":"Information Sciences"},{"key":"537_CR178","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.ins.2014.03.051","volume":"278","author":"G Jiang","year":"2014","unstructured":"Jiang, G., Ma, F., Shang, J., & Chau, P. Y. K. (2014). Evolution of knowledge sharing behavior in social commerce: An agent-based computational approach. Information Sciences, 278, 250\u2013266. https:\/\/doi.org\/10.1016\/j.ins.2014.03.051","journal-title":"Information Sciences"},{"issue":"2","key":"537_CR179","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1287\/isre.1050.0046","volume":"16","author":"Z Jiang","year":"2005","unstructured":"Jiang, Z., Mookerjee, V. S., & Sarkar, S. (2005). Lying on the web: Implications for expert systems redesign. Information Systems Research, 16(2), 131\u2013148. https:\/\/doi.org\/10.1287\/isre.1050.0046","journal-title":"Information Systems Research"},{"issue":"2","key":"537_CR180","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1016\/j.dss.2005.05.019","volume":"43","author":"A J\u00f8sang","year":"2007","unstructured":"J\u00f8sang, A., Ismail, R., & Boyd, C. (2007). A survey of trust and reputation systems for online service provision. Decision Support Systems, 43(2), 618\u2013644. https:\/\/doi.org\/10.1016\/j.dss.2005.05.019","journal-title":"Decision Support Systems"},{"issue":"2","key":"537_CR181","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1093\/JEC1086-4415140203","volume":"14","author":"C Juli\u00e0","year":"2009","unstructured":"Juli\u00e0, C., Sappa, A. D., Lumbreras, F., Serrat, J., & L\u00f3pez, A. (2009). Predicting Missing Ratings in Recommender Systems: Adapted Factorization Approach. International Journal of Electronic Commerce, 14(2), 89\u2013108. https:\/\/doi.org\/10.1093\/JEC1086-4415140203","journal-title":"International Journal of Electronic Commerce"},{"issue":"4","key":"537_CR182","doi-asserted-by":"publisher","first-page":"510","DOI":"10.0456\/10864415.2018.1485084","volume":"22","author":"S Kagan","year":"2018","unstructured":"Kagan, S., & Bekkerman, R. (2018). Predicting Purchase Behavior of Website Audiences. International Journal of Electronic Commerce, 22(4), 510\u2013539. https:\/\/doi.org\/10.0456\/10864415.2018.1485084","journal-title":"International Journal of Electronic Commerce"},{"issue":"6","key":"537_CR183","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1016\/j.knosys.2011.03.004","volume":"24","author":"C Kaiser","year":"2011","unstructured":"Kaiser, C., Schlick, S., & Bodendorf, F. (2011). Warning system for online market research - Identifying critical situations in online opinion formation. Knowledge-Based Systems, 24(6), 824\u2013836. https:\/\/doi.org\/10.1016\/j.knosys.2011.03.004","journal-title":"Knowledge-Based Systems"},{"key":"537_CR184","volume-title":"Electronic commerce: a manager\u2019s guide","author":"R Kalakota","year":"1997","unstructured":"Kalakota, R., & Whinston, A. B. (1997). Electronic commerce: a manager\u2019s guide. Addison-Wesley Professional."},{"key":"537_CR185","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2021.113584","volume":"147","author":"S Kandula","year":"2021","unstructured":"Kandula, S., Krishnamoorthy, S., & Roy, D. (2021). A prescriptive analytics framework for efficient E-commerce order delivery. Decision Support Systems, 147, 113584. https:\/\/doi.org\/10.1016\/j.dss.2021.113584","journal-title":"Decision Support Systems"},{"issue":"1","key":"537_CR186","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.bushor.2018.08.004","volume":"62","author":"A Kaplan","year":"2019","unstructured":"Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who\u2019s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15\u201325. https:\/\/doi.org\/10.1016\/j.bushor.2018.08.004","journal-title":"Business Horizons"},{"key":"537_CR187","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.elerap.2017.04.004","volume":"25","author":"RJ Kauffman","year":"2017","unstructured":"Kauffman, R. J., Kim, K., Lee, S.-Y.T., Hoang, A.-P., & Ren, J. (2017). Combining machine-based and econometrics methods for policy analytics insights. Electronic Commerce Research and Applications, 25, 115\u2013140. https:\/\/doi.org\/10.1016\/j.elerap.2017.04.004","journal-title":"Electronic Commerce Research and Applications"},{"issue":"11","key":"537_CR188","doi-asserted-by":"publisher","first-page":"2269","DOI":"10.1016\/j.ins.2007.01.002","volume":"177","author":"P Kazienko","year":"2007","unstructured":"Kazienko, P., & Adamski, M. (2007). AdROSA-Adaptive personalization of web advertising. Information Sciences, 177(11), 2269\u20132295. https:\/\/doi.org\/10.1016\/j.ins.2007.01.002","journal-title":"Information Sciences"},{"issue":"3","key":"537_CR189","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1016\/j.ins.2007.08.027","volume":"178","author":"S Keegan","year":"2008","unstructured":"Keegan, S., O\u2019Hare, G. M. P., & O\u2019Grady, M. J. (2008). Easishop: Ambient intelligence assists everyday shopping. Information Sciences, 178(3), 588\u2013611. https:\/\/doi.org\/10.1016\/j.ins.2007.08.027","journal-title":"Information Sciences"},{"issue":"4","key":"537_CR190","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1287\/isre.1110.0415","volume":"23","author":"W Ketter","year":"2012","unstructured":"Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2012). Real-Time tactical and strategic sales management for intelligent agents guided by economic regimes. Information Systems Research, 23(4), 1263\u20131283. https:\/\/doi.org\/10.1287\/isre.1110.0415","journal-title":"Information Systems Research"},{"key":"537_CR191","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.knosys.2012.03.005","volume":"33","author":"VR Khare","year":"2012","unstructured":"Khare, V. R., & Chougule, R. (2012). Decision support for improved service effectiveness using domain aware text mining. Knowledge-Based Systems, 33, 29\u201340. https:\/\/doi.org\/10.1016\/j.knosys.2012.03.005","journal-title":"Knowledge-Based Systems"},{"key":"537_CR192","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.elerap.2016.12.002","volume":"21","author":"SS Khopkar","year":"2017","unstructured":"Khopkar, S. S., & Nikolaev, A. G. (2017). Predicting long-term product ratings based on few early ratings and user base analysis. Electronic Commerce Research and Applications, 21, 38\u201349. https:\/\/doi.org\/10.1016\/j.elerap.2016.12.002","journal-title":"Electronic Commerce Research and Applications"},{"issue":"2","key":"537_CR193","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.elerap.2008.11.005","volume":"8","author":"C Kiekintveld","year":"2009","unstructured":"Kiekintveld, C., Miller, J., Jordan, P. R., Callender, L. F., & Wellman, M. P. (2009). Forecasting market prices in a supply chain game. Electronic Commerce Research and Applications, 8(2), 63\u201377. https:\/\/doi.org\/10.1016\/j.elerap.2008.11.005","journal-title":"Electronic Commerce Research and Applications"},{"issue":"3","key":"537_CR194","doi-asserted-by":"publisher","first-page":"263","DOI":"10.2501\/JAR-2018-035","volume":"58","author":"J Kietzmann","year":"2018","unstructured":"Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263\u2013267. https:\/\/doi.org\/10.2501\/JAR-2018-035","journal-title":"Journal of Advertising Research"},{"issue":"2","key":"537_CR195","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.dss.2004.01.006","volume":"40","author":"DJ Kim","year":"2005","unstructured":"Kim, D. J., Song, Y. I., Braynov, S. B., & Rao, H. R. (2005a). A multidimensional trust formation model in B-to-C e-commerce: A conceptual framework and content analyses of academia\/practitioner perspectives. Decision Support Systems, 40(2), 143\u2013165. https:\/\/doi.org\/10.1016\/j.dss.2004.01.006","journal-title":"Decision Support Systems"},{"key":"537_CR196","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.ins.2017.06.026","volume":"417","author":"D Kim","year":"2017","unstructured":"Kim, D., Park, C., Oh, J., & Yu, H. (2017). Deep hybrid recommender systems via exploiting document context and statistics of items. Information Sciences, 417, 72\u201387. https:\/\/doi.org\/10.1016\/j.ins.2017.06.026","journal-title":"Information Sciences"},{"issue":"3","key":"537_CR197","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1080\/10864415.2001.11044215","volume":"5","author":"JW Kim","year":"2001","unstructured":"Kim, J. W., Lee, B. H., Shaw, M. J., Chang, H. L., & Nelson, M. (2001). Application of decision-tree induction techniques to personalized advertisements on internet storefronts. International Journal of Electronic Commerce, 5(3), 45\u201362. https:\/\/doi.org\/10.1080\/10864415.2001.11044215","journal-title":"International Journal of Electronic Commerce"},{"issue":"2","key":"537_CR198","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1016\/j.eswa.2006.12.025","volume":"34","author":"K Kim","year":"2008","unstructured":"Kim, K., & Ahn, H. (2008). A recommender system using GA K-means clustering in an online shopping market. Expert Systems with Applications, 34(2), 1200\u20131209. https:\/\/doi.org\/10.1016\/j.eswa.2006.12.025","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"537_CR199","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/S1567-4223(02)00011-X","volume":"1","author":"W Kim","year":"2002","unstructured":"Kim, W., Kerschberg, L., & Scime, A. (2002). Learning for automatic personalization in a semantic taxonomy-based meta-search agent. Electronic Commerce Research and Applications, 1(2), 150\u2013173. https:\/\/doi.org\/10.1016\/S1567-4223(02)00011-X","journal-title":"Electronic Commerce Research and Applications"},{"issue":"2","key":"537_CR200","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1016\/j.eswa.2004.10.017","volume":"28","author":"YS Kim","year":"2005","unstructured":"Kim, Y. S., Yum, B. J., Song, J., & Kim, S. M. (2005b). Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites. Expert Systems with Applications, 28(2), 381\u2013393. https:\/\/doi.org\/10.1016\/j.eswa.2004.10.017","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"537_CR201","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1080\/08874417.2017.1348916","volume":"59","author":"T Klaus","year":"2019","unstructured":"Klaus, T., & Changchit, C. (2019). Toward an Understanding of Consumer Attitudes on Online Review Usage. Journal of Computer Information Systems, 59(3), 277\u2013286. https:\/\/doi.org\/10.1080\/08874417.2017.1348916","journal-title":"Journal of Computer Information Systems"},{"issue":"3","key":"537_CR202","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s007780050006","volume":"8","author":"EM Knorr","year":"2000","unstructured":"Knorr, E. M., Ng, R. T., & Tucakov, V. (2000). Distance-based outliers: Algorithms and applications. The VLDB Journal, 8(3), 237\u2013253. https:\/\/doi.org\/10.1007\/s007780050006","journal-title":"The VLDB Journal"},{"issue":"1","key":"537_CR203","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/s10618-008-0114-1","volume":"18","author":"R Kohavi","year":"2009","unstructured":"Kohavi, R., Longbotham, R., Sommerfield, D., & Henne, R. M. (2009). Controlled experiments on the web: Survey and practical guide. Data Mining and Knowledge Discovery, 18(1), 140\u2013181. https:\/\/doi.org\/10.1007\/s10618-008-0114-1","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"3","key":"537_CR204","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1145\/245108.245126","volume":"40","author":"JA Konstan","year":"1997","unstructured":"Konstan, J. A., Miller, B. N., Maltz, D., Herlocker, J. L., Gordon, L. R., & Riedl, J. (1997). Applying Collaborative Filtering to Usenet News. Communications of the ACM, 40(3), 77\u201387. https:\/\/doi.org\/10.1145\/245108.245126","journal-title":"Communications of the ACM"},{"issue":"8","key":"537_CR205","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques for Recommender Systems. Computer, 42(8), 30\u201337. https:\/\/doi.org\/10.1109\/MC.2009.263","journal-title":"Computer"},{"issue":"2","key":"537_CR206","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s12525-019-00351-0","volume":"30","author":"N K\u00fchl","year":"2020","unstructured":"K\u00fchl, N., M\u00fchlthaler, M., & Goutier, M. (2020). Supporting customer-oriented marketing with artificial intelligence: Automatically quantifying customer needs from social media. Electronic Markets, 30(2), 351\u2013367. https:\/\/doi.org\/10.1007\/s12525-019-00351-0","journal-title":"Electronic Markets"},{"issue":"1","key":"537_CR207","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1080\/07421222.2018.1440758","volume":"35","author":"N Kumar","year":"2018","unstructured":"Kumar, N., Venugopal, D., Qiu, L., & Kumar, S. (2018). Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning. Journal of Management Information Systems, 35(1), 350\u2013380. https:\/\/doi.org\/10.1080\/07421222.2018.1440758","journal-title":"Journal of Management Information Systems"},{"issue":"4","key":"537_CR208","doi-asserted-by":"publisher","first-page":"1313","DOI":"10.1080\/07421222.2019.1661089","volume":"36","author":"N Kumar","year":"2019","unstructured":"Kumar, N., Venugopal, D., Qiu, L., & Kumar, S. (2019a). Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models. Journal of Management Information Systems, 36(4), 1313\u20131346. https:\/\/doi.org\/10.1080\/07421222.2019.1661089","journal-title":"Journal of Management Information Systems"},{"issue":"4","key":"537_CR209","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1177\/0008125619859317","volume":"61","author":"V Kumar","year":"2019","unstructured":"Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019b). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135\u2013155. https:\/\/doi.org\/10.1177\/0008125619859317","journal-title":"California Management Review"},{"issue":"1","key":"537_CR210","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1207\/s15327744joce1401_3","volume":"14","author":"RJ Kuo","year":"2004","unstructured":"Kuo, R. J., Chang, K., & Chien, S. Y. (2004). Integration of Self-Organizing Feature Maps and Genetic-Algorithm-Based Clustering Method for Market Segmentation. Journal of Organizational Computing and Electronic Commerce, 14(1), 43\u201360. https:\/\/doi.org\/10.1207\/s15327744joce1401_3","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"issue":"2","key":"537_CR211","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.dss.2004.04.010","volume":"40","author":"RJ Kuo","year":"2005","unstructured":"Kuo, R. J., Liao, J. L., & Tu, C. (2005). Integration of ART2 neural network and genetic K-means algorithm for analyzing Web browsing paths in electronic commerce. Decision Support Systems, 40(2), 355\u2013374. https:\/\/doi.org\/10.1016\/j.dss.2004.04.010","journal-title":"Decision Support Systems"},{"issue":"3","key":"537_CR212","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.elerap.2005.10.011","volume":"5","author":"O Kwon","year":"2006","unstructured":"Kwon, O., Yoo, K., & Suh, E. (2006). ubiES: Applying ubiquitous computing technologies to an expert system for context-aware proactive services. Electronic Commerce Research and Applications, 5(3), 209\u2013219. https:\/\/doi.org\/10.1016\/j.elerap.2005.10.011","journal-title":"Electronic Commerce Research and Applications"},{"issue":"3","key":"537_CR213","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.elerap.2011.11.004","volume":"11","author":"C Laorden","year":"2012","unstructured":"Laorden, C., Santos, I., Sanz, B., Alvarez, G., & Bringas, P. G. (2012). Word sense disambiguation for spam filtering. Electronic Commerce Research and Applications, 11(3), 290\u2013298. https:\/\/doi.org\/10.1016\/j.elerap.2011.11.004","journal-title":"Electronic Commerce Research and Applications"},{"issue":"3","key":"537_CR214","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.elerap.2006.06.007","volume":"6","author":"RYK Lau","year":"2007","unstructured":"Lau, R. Y. K. (2007). Towards a web services and intelligent agents-based negotiation system for B2B eCommerce. Electronic Commerce Research and Applications, 6(3), 260\u2013273. https:\/\/doi.org\/10.1016\/j.elerap.2006.06.007","journal-title":"Electronic Commerce Research and Applications"},{"issue":"5\u20136","key":"537_CR215","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1080\/10548400903163160","volume":"26","author":"R Law","year":"2009","unstructured":"Law, R., Leung, R., & Buhalis, D. (2009). Information technology applications in hospitality and tourism: A review of publications from 2005 to 2007. Journal of Travel and Tourism Marketing, 26(5\u20136), 599\u2013623. https:\/\/doi.org\/10.1080\/10548400903163160","journal-title":"Journal of Travel and Tourism Marketing"},{"key":"537_CR216","doi-asserted-by":"publisher","unstructured":"Lawrence, R. D., Almasi, G. S., Kotlyar, V., Viveros, M. S., & Duri, S. S. (2001). Personalization of supermarket product recommendations. In Data Mining and Knowledge Discovery (Vol. 5, Issues 1\u20132, pp. 11\u201332). Springer. https:\/\/doi.org\/10.1023\/A:1009835726774","DOI":"10.1023\/A:1009835726774"},{"key":"537_CR217","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436\u2013444.","DOI":"10.1038\/nature14539"},{"issue":"1","key":"537_CR218","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1287\/mnsc.2019.3546","volume":"67","author":"D Lee","year":"2021","unstructured":"Lee, D., & Hosanagar, K. (2021). How do product attributes and reviews moderate the impact of recommender systems through purchase stages? Management Science, 67(1), 524\u2013546. https:\/\/doi.org\/10.1287\/mnsc.2019.3546","journal-title":"Management Science"},{"issue":"3","key":"537_CR219","doi-asserted-by":"publisher","first-page":"892","DOI":"10.1287\/ISRE.2020.0922","volume":"31","author":"D Lee","year":"2020","unstructured":"Lee, D., Gopal, A., & Park, S. H. (2020). Different but equal? a field experiment on the impact of recommendation systems on mobile and personal computer channels in retail. Information Systems Research, 31(3), 892\u2013912. https:\/\/doi.org\/10.1287\/ISRE.2020.0922","journal-title":"Information Systems Research"},{"key":"537_CR220","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2019.100874","volume":"36","author":"H-C Lee","year":"2019","unstructured":"Lee, H.-C., Rim, H.-C., & Lee, D.-G. (2019). Learning to rank products based on online product reviews using a hierarchical deep neural network. Electronic Commerce Research and Applications, 36, 100874. https:\/\/doi.org\/10.1016\/j.elerap.2019.100874","journal-title":"Electronic Commerce Research and Applications"},{"issue":"1\u20132","key":"537_CR221","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1023\/A:1009843912662","volume":"5","author":"J Lee","year":"2001","unstructured":"Lee, J., Podlaseck, M., Schonberg, E., & Hoch, R. (2001). Visualization and analysis of clickstream data of online stores for understanding web merchandising. Data Mining and Knowledge Discovery, 5(1\u20132), 59\u201384. https:\/\/doi.org\/10.1023\/A:1009843912662","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"11","key":"537_CR222","doi-asserted-by":"publisher","first-page":"2142","DOI":"10.1016\/j.ins.2010.02.004","volume":"180","author":"SK Lee","year":"2010","unstructured":"Lee, S. K., Cho, Y. H., & Kim, S. H. (2010). Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations. Information Sciences, 180(11), 2142\u20132155. https:\/\/doi.org\/10.1016\/j.ins.2010.02.004","journal-title":"Information Sciences"},{"key":"537_CR223","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.elerap.2017.09.006","volume":"26","author":"S Lee","year":"2017","unstructured":"Lee, S., & Kim, W. (2017). Sentiment labeling for extending initial labeled data to improve semi-supervised sentiment classification. Electronic Commerce Research and Applications, 26, 35\u201349. https:\/\/doi.org\/10.1016\/j.elerap.2017.09.006","journal-title":"Electronic Commerce Research and Applications"},{"issue":"1","key":"537_CR224","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.dss.2012.01.018","volume":"53","author":"YH Lee","year":"2012","unstructured":"Lee, Y. H., Hu, P. J. H., Cheng, T. H., & Hsieh, Y. F. (2012). A cost-sensitive technique for positive-example learning supporting content-based product recommendations in B-to-C e-commerce. Decision Support Systems, 53(1), 245\u2013256. https:\/\/doi.org\/10.1016\/j.dss.2012.01.018","journal-title":"Decision Support Systems"},{"issue":"2","key":"537_CR225","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/S1567-4223(03)00023-1","volume":"2","author":"B Leloup","year":"2003","unstructured":"Leloup, B. (2003). Pricing with local interactions on agent-based electronic marketplaces. Electronic Commerce Research and Applications, 2(2), 187\u2013198. https:\/\/doi.org\/10.1016\/S1567-4223(03)00023-1","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR226","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.027","author":"S Lessmann","year":"2019","unstructured":"Lessmann, S., Haupt, J., Coussement, K., & De Bock, K. W. (2019). Targeting customers for profit: An ensemble learning framework to support marketing decision-making. Information Sciences. https:\/\/doi.org\/10.1016\/j.ins.2019.05.027","journal-title":"Information Sciences"},{"issue":"1","key":"537_CR227","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/10919390609540288","volume":"16","author":"H Li","year":"2006","unstructured":"Li, H., Su, S. Y. W., & Lam, H. (2006). On automated e-business negotiations: Goal, policy, strategy, and plans of decision and action. Journal of Organizational Computing and Electronic Commerce, 16(1), 1\u201329. https:\/\/doi.org\/10.1080\/10919390609540288","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"key":"537_CR228","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.knosys.2017.02.032","volume":"127","author":"J Li","year":"2017","unstructured":"Li, J., Chen, C., Chen, H., & Tong, C. (2017). Towards Context-aware Social Recommendation via Individual Trust. Knowledge-Based Systems, 127, 58\u201366. https:\/\/doi.org\/10.1016\/j.knosys.2017.02.032","journal-title":"Knowledge-Based Systems"},{"key":"537_CR229","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2019.100875","volume":"36","author":"S Li","year":"2019","unstructured":"Li, S., Zhang, Y., Yu, Z., Zhang, F., & Lu, H. (2019a). Predicting the influence of viral message for VM campaign on Weibo. Electronic Commerce Research and Applications, 36, 100875. https:\/\/doi.org\/10.1016\/j.elerap.2019.100875","journal-title":"Electronic Commerce Research and Applications"},{"issue":"2","key":"537_CR230","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.im.2018.04.007","volume":"56","author":"X Li","year":"2019","unstructured":"Li, X., Wu, C., & Mai, F. (2019b). The effect of online reviews on product sales: A joint sentiment-topic analysis. Information & Management, 56(2), 172\u2013184. https:\/\/doi.org\/10.1016\/j.im.2018.04.007","journal-title":"Information & Management"},{"key":"537_CR231","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.ins.2014.02.079","volume":"274","author":"Y-M Li","year":"2014","unstructured":"Li, Y.-M., Chou, C.-L., & Lin, L.-F. (2014). A social recommender mechanism for location-based group commerce. Information Sciences, 274, 125\u2013142. https:\/\/doi.org\/10.1016\/j.ins.2014.02.079","journal-title":"Information Sciences"},{"issue":"3","key":"537_CR232","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1016\/j.dss.2013.02.009","volume":"55","author":"YM Li","year":"2013","unstructured":"Li, Y. M., Wu, C. T., & Lai, C. Y. (2013). A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship. Decision Support Systems, 55(3), 740\u2013752. https:\/\/doi.org\/10.1016\/j.dss.2013.02.009","journal-title":"Decision Support Systems"},{"key":"537_CR233","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.knosys.2019.02.012","volume":"172","author":"Y Li","year":"2019","unstructured":"Li, Y., Wang, S., Pan, Q., Peng, H., Yang, T., & Cambria, E. (2019c). Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowledge-Based Systems, 172, 64\u201375. https:\/\/doi.org\/10.1016\/j.knosys.2019.02.012","journal-title":"Knowledge-Based Systems"},{"issue":"1","key":"537_CR234","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.eswa.2004.08.013","volume":"28","author":"Yu Li","year":"2005","unstructured":"Li, Yu., Lu, L., & Xuefeng, L. (2005). A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce. Expert Systems with Applications, 28(1), 67\u201377. https:\/\/doi.org\/10.1016\/j.eswa.2004.08.013","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"537_CR235","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1007\/s40815-019-00606-0","volume":"21","author":"R Liang","year":"2019","unstructured":"Liang, R., Wang, J., & qiang. (2019). A Linguistic Intuitionistic Cloud Decision Support Model with Sentiment Analysis for Product Selection in E-commerce. International Journal of Fuzzy Systems, 21(3), 963\u2013977. https:\/\/doi.org\/10.1007\/s40815-019-00606-0","journal-title":"International Journal of Fuzzy Systems"},{"key":"537_CR236","doi-asserted-by":"publisher","unstructured":"Liebman, E., Saar-Tsechansky, M., & Stone, P. (2019). The right music at the right time: Adaptive personalized playlists based on sequence modeling. MIS Quarterly, 43(3), 765\u2013786. https:\/\/doi.org\/10.25300\/MISQ\/2019\/14750","DOI":"10.25300\/MISQ\/2019\/14750"},{"issue":"5","key":"537_CR237","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/S0378-7206(02)00062-9","volume":"40","author":"Q-Y Lin","year":"2003","unstructured":"Lin, Q.-Y., Chen, Y.-L., Chen, J.-S., & Chen, Y.-C. (2003). Mining inter-organizational retailing knowledge for an alliance formed by competitive firms. Information & Management, 40(5), 431\u2013442. https:\/\/doi.org\/10.1016\/S0378-7206(02)00062-9","journal-title":"Information & Management"},{"issue":"1","key":"537_CR238","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1023\/A:1013284820704","volume":"6","author":"W Lin","year":"2002","unstructured":"Lin, W., Alvarez, S. A., & Ruiz, C. (2002). Efficient Adaptive-Support Association Rule Mining for Recommender Systems. Data Mining and Knowledge Discovery, 6(1), 83\u2013105. https:\/\/doi.org\/10.1023\/A:1013284820704","journal-title":"Data Mining and Knowledge Discovery"},{"key":"537_CR239","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.elerap.2016.01.005","volume":"18","author":"WH Lin","year":"2016","unstructured":"Lin, W. H., Wang, P., & Tsai, C. F. (2016). Face recognition using support vector model classifier for user authentication. Electronic Commerce Research and Applications, 18, 71\u201382. https:\/\/doi.org\/10.1016\/j.elerap.2016.01.005","journal-title":"Electronic Commerce Research and Applications"},{"issue":"1","key":"537_CR240","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G Linden","year":"2003","unstructured":"Linden, G., Smith, B., & York, J. (2003). Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Computing, 7(1), 76\u201380. https:\/\/doi.org\/10.1109\/MIC.2003.1167344","journal-title":"IEEE Internet Computing"},{"key":"537_CR241","doi-asserted-by":"publisher","unstructured":"Liu, B., Hu, M., & Cheng, J. (2005). Opinion observer. Proceedings of the 14th International Conference on World Wide Web, 342. https:\/\/doi.org\/10.1145\/1060745.1060797","DOI":"10.1145\/1060745.1060797"},{"key":"537_CR242","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.knosys.2018.07.038","volume":"161","author":"D-R Liu","year":"2018","unstructured":"Liu, D.-R., Chen, K.-Y., Chou, Y.-C., & Lee, J.-H. (2018). Online recommendations based on dynamic adjustment of recommendation lists. Knowledge-Based Systems, 161, 375\u2013389. https:\/\/doi.org\/10.1016\/j.knosys.2018.07.038","journal-title":"Knowledge-Based Systems"},{"key":"537_CR243","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.05.027","volume":"181","author":"H Liu","year":"2019","unstructured":"Liu, H., Jiang, Z., Song, Y., Zhang, T., & Wu, Z. (2019). User preference modeling based on meta paths and diversity regularization in heterogeneous information networks. Knowledge-Based Systems, 181, 104784. https:\/\/doi.org\/10.1016\/j.knosys.2019.05.027","journal-title":"Knowledge-Based Systems"},{"key":"537_CR244","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.knosys.2017.07.007","volume":"133","author":"K Liu","year":"2017","unstructured":"Liu, K., Zeng, X., Bruniaux, P., Wang, J., Kamalha, E., & Tao, X. (2017). Fit evaluation of virtual garment try-on by learning from digital pressure data. Knowledge-Based Systems, 133, 174\u2013182. https:\/\/doi.org\/10.1016\/j.knosys.2017.07.007","journal-title":"Knowledge-Based Systems"},{"key":"537_CR245","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105010","volume":"188","author":"N Liu","year":"2020","unstructured":"Liu, N., & Shen, B. (2020). Aspect-based sentiment analysis with gated alternate neural network. Knowledge-Based Systems, 188, 105010. https:\/\/doi.org\/10.1016\/j.knosys.2019.105010","journal-title":"Knowledge-Based Systems"},{"issue":"8","key":"537_CR246","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2020.103387","volume":"57","author":"R Liu","year":"2020","unstructured":"Liu, R., Mai, F., Shan, Z., & Wu, Y. (2020). Predicting shareholder litigation on insider trading from financial text: An interpretable deep learning approach. Information & Management, 57(8), 103387. https:\/\/doi.org\/10.1016\/j.im.2020.103387","journal-title":"Information & Management"},{"issue":"1","key":"537_CR247","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.elerap.2012.07.001","volume":"12","author":"X Liu","year":"2013","unstructured":"Liu, X., Datta, A., & Rzadca, K. (2013). Trust beyond reputation: A computational trust model based on stereotypes. Electronic Commerce Research and Applications, 12(1), 24\u201339. https:\/\/doi.org\/10.1016\/j.elerap.2012.07.001","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR248","doi-asserted-by":"publisher","unstructured":"Lowry, P. B., Moody, G. D., Gaskin, J., Galletta, D. F., Humpherys, S. L., Barlow, J. B., & Wilson, D. W. (2013). Evaluating journal quality and the association for information systems senior scholars\u2019 journal basket via bibliometric measures: Do expert journal assessments add value? MIS Quarterly, 37(4), 993\u20131012. https:\/\/doi.org\/10.25300\/MISQ\/2013\/37.4.01","DOI":"10.25300\/MISQ\/2013\/37.4.01"},{"issue":"2","key":"537_CR249","doi-asserted-by":"publisher","first-page":"29","DOI":"10.17705\/1jais.00045","volume":"5","author":"P Lowry","year":"2004","unstructured":"Lowry, P., Romans, D., & Curtis, A. (2004). Global Journal Prestige and Supporting Disciplines: A Scientometric Study of Information Systems Journals. Journal of the Association for Information Systems, 5(2), 29\u201377. https:\/\/doi.org\/10.17705\/1jais.00045","journal-title":"Journal of the Association for Information Systems"},{"key":"537_CR250","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.dss.2015.03.008","volume":"74","author":"J Lu","year":"2015","unstructured":"Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G. (2015). Recommender system application developments: A survey. Decision Support Systems, 74, 12\u201332. https:\/\/doi.org\/10.1016\/j.dss.2015.03.008","journal-title":"Decision Support Systems"},{"issue":"4","key":"537_CR251","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1287\/isre.2019.0859","volume":"30","author":"X Luo","year":"2019","unstructured":"Luo, X., Lu, X., & Li, J. (2019). When and How to Leverage E-commerce Cart Targeting: The relative and moderated effects of scarcity and price incentives with a two-stage field experiment and causal forest optimization. Information Systems Research, 30(4), 1203\u20131227. https:\/\/doi.org\/10.1287\/isre.2019.0859","journal-title":"Information Systems Research"},{"key":"537_CR252","doi-asserted-by":"publisher","unstructured":"Lyytinen, K., Nickerson, J. V, & King, J. L. (2020). Metahuman systems = humans + machines that learn. Journal of Information Technology, 36(4), 427\u2013445. https:\/\/doi.org\/10.1177\/0268396220915917","DOI":"10.1177\/0268396220915917"},{"key":"537_CR253","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.elerap.2018.08.002","volume":"31","author":"X Ma","year":"2018","unstructured":"Ma, X., Sha, J., Wang, D., Yu, Y., Yang, Q., & Niu, X. (2018). Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning. Electronic Commerce Research and Applications, 31, 24\u201339. https:\/\/doi.org\/10.1016\/j.elerap.2018.08.002","journal-title":"Electronic Commerce Research and Applications"},{"issue":"4","key":"537_CR254","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.elerap.2010.11.006","volume":"10","author":"Z Ma","year":"2011","unstructured":"Ma, Z., Pant, G., & Sheng, O. R. L. (2011). Mining competitor relationships from online news: A network-based approach. Electronic Commerce Research and Applications, 10(4), 418\u2013427. https:\/\/doi.org\/10.1016\/j.elerap.2010.11.006","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR255","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.futures.2017.03.006","volume":"90","author":"S Makridakis","year":"2017","unstructured":"Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46\u201360. https:\/\/doi.org\/10.1016\/j.futures.2017.03.006","journal-title":"Futures"},{"issue":"1","key":"537_CR256","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1080\/10864415.2018.1512271","volume":"23","author":"V Manahov","year":"2019","unstructured":"Manahov, V., & Zhang, H. (2019). Forecasting Financial Markets Using High-Frequency Trading Data: Examination with Strongly Typed Genetic Programming. International Journal of Electronic Commerce, 23(1), 12\u201332. https:\/\/doi.org\/10.1080\/10864415.2018.1512271","journal-title":"International Journal of Electronic Commerce"},{"issue":"3","key":"537_CR257","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1007\/s12525-020-00434-3","volume":"31","author":"A Manthiou","year":"2021","unstructured":"Manthiou, A., Klaus, P., Kuppelwieser, V. G., & Reeves, W. (2021). Man vs machine: Examining the three themes of service robotics in tourism and hospitality. Electronic Markets, 31(3), 511\u2013527. https:\/\/doi.org\/10.1007\/s12525-020-00434-3","journal-title":"Electronic Markets"},{"issue":"3","key":"537_CR258","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.elerap.2005.01.001","volume":"4","author":"SS Manvi","year":"2005","unstructured":"Manvi, S. S., & Venkataram, P. (2005). An intelligent product-information presentation in E-commerce. Electronic Commerce Research and Applications, 4(3), 220\u2013239. https:\/\/doi.org\/10.1016\/j.elerap.2005.01.001","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR259","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.ins.2018.07.029","volume":"471","author":"M Mao","year":"2019","unstructured":"Mao, M., Lu, J., Han, J., & Zhang, G. (2019). Multiobjective e-commerce recommendations based on hypergraph ranking. Information Sciences, 471, 269\u2013287. https:\/\/doi.org\/10.1016\/j.ins.2018.07.029","journal-title":"Information Sciences"},{"key":"537_CR260","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/j.ijinfomgt.2019.07.011","volume":"50","author":"H Maqsood","year":"2020","unstructured":"Maqsood, H., Mehmood, I., Maqsood, M., Yasir, M., Afzal, S., Aadil, F., Selim, M. M., & Muhammad, K. (2020). A local and global event sentiment based efficient stock exchange forecasting using deep learning. International Journal of Information Management, 50, 432\u2013451. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2019.07.011","journal-title":"International Journal of Information Management"},{"issue":"3","key":"537_CR261","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsis.2021.101683","volume":"30","author":"M Marabelli","year":"2021","unstructured":"Marabelli, M., Newell, S., & Handunge, V. (2021). The lifecycle of algorithmic decision-making systems: Organizational choices and ethical challenges. The Journal of Strategic Information Systems, 30(3), 101683. https:\/\/doi.org\/10.1016\/j.jsis.2021.101683","journal-title":"The Journal of Strategic Information Systems"},{"key":"537_CR262","doi-asserted-by":"publisher","unstructured":"Martens, D., & Provost, F. (2014). Explaining data-driven document classifications. MIS Quarterly, 38(1), 73\u201399. https:\/\/doi.org\/10.25300\/MISQ\/2014\/38.1.04","DOI":"10.25300\/MISQ\/2014\/38.1.04"},{"key":"537_CR263","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.ins.2015.03.013","volume":"311","author":"C Martinez-Cruz","year":"2015","unstructured":"Martinez-Cruz, C., Porcel, C., Bernab\u00e9-Moreno, J., & Herrera-Viedma, E. (2015). A model to represent users trust in recommender systems using ontologies and fuzzy linguistic modeling. Information Sciences, 311, 102\u2013118. https:\/\/doi.org\/10.1016\/j.ins.2015.03.013","journal-title":"Information Sciences"},{"issue":"4","key":"537_CR264","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1002\/asi.23089","volume":"65","author":"W Marx","year":"2014","unstructured":"Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65(4), 751\u2013764. https:\/\/doi.org\/10.1002\/asi.23089","journal-title":"Journal of the Association for Information Science and Technology"},{"key":"537_CR265","doi-asserted-by":"publisher","unstructured":"McAuley, J., Targett, C., Shi, Q., & Van Den Hengel, A. (2015). Image-based recommendations on styles and substitutes. SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 43\u201352. https:\/\/doi.org\/10.1145\/2766462.2767755","DOI":"10.1145\/2766462.2767755"},{"key":"537_CR266","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2019.100833","volume":"34","author":"EZ Milian","year":"2019","unstructured":"Milian, E. Z., de Spinola, M., & M., & Carvalho, M. M. d. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34, 100833. https:\/\/doi.org\/10.1016\/j.elerap.2019.100833","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR267","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.elerap.2017.11.004","volume":"27","author":"L Miralles-Pechu\u00e1n","year":"2018","unstructured":"Miralles-Pechu\u00e1n, L., Ponce, H., & Mart\u00ednez-Villase\u00f1or, L. (2018). A novel methodology for optimizing display advertising campaigns using genetic algorithms. Electronic Commerce Research and Applications, 27, 39\u201351. https:\/\/doi.org\/10.1016\/j.elerap.2017.11.004","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR268","doi-asserted-by":"publisher","unstructured":"Mo, J., Sarkar, S., & Menon, S. (2018). Know when to run: Recommendations in crowdsourcing contests. MIS Quarterly, 42(3), 919\u2013943. https:\/\/doi.org\/10.25300\/MISQ\/2018\/14103","DOI":"10.25300\/MISQ\/2018\/14103"},{"key":"537_CR269","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2019.100836","volume":"34","author":"O Mokryn","year":"2019","unstructured":"Mokryn, O., Bogina, V., & Kuflik, T. (2019). Will this session end with a purchase? Inferring current purchase intent of anonymous visitors. Electronic Commerce Research and Applications, 34, 100836. https:\/\/doi.org\/10.1016\/j.elerap.2019.100836","journal-title":"Electronic Commerce Research and Applications"},{"issue":"2","key":"537_CR270","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1080\/10919399209540179","volume":"2","author":"LF Motiwalla","year":"1992","unstructured":"Motiwalla, L. F., & Nunamaker, J. F. (1992). Mail-man: A knowledge-based mail assistant for managers. Journal of Organizational Computing, 2(2), 131\u2013154. https:\/\/doi.org\/10.1080\/10919399209540179","journal-title":"Journal of Organizational Computing"},{"key":"537_CR271","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-020-00411-w","author":"S Moussawi","year":"2020","unstructured":"Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2020). How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents. Electronic Markets. https:\/\/doi.org\/10.1007\/s12525-020-00411-w","journal-title":"Electronic Markets"},{"issue":"3","key":"537_CR272","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.ins.2008.09.019","volume":"179","author":"F Nassiri-Mofakham","year":"2009","unstructured":"Nassiri-Mofakham, F., Nematbakhsh, M. A., Baraani-Dastjerdi, A., & Ghasem-Aghaee, N. (2009). Electronic promotion to new customers using mkNN learning. Information Sciences, 179(3), 248\u2013266. https:\/\/doi.org\/10.1016\/j.ins.2008.09.019","journal-title":"Information Sciences"},{"issue":"3","key":"537_CR273","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1007\/s12525-020-00433-4","volume":"31","author":"B Neuhofer","year":"2021","unstructured":"Neuhofer, B., Magnus, B., & Celuch, K. (2021). The impact of artificial intelligence on event experiences: A scenario technique approach. Electronic Markets, 31(3), 601\u2013617. https:\/\/doi.org\/10.1007\/s12525-020-00433-4","journal-title":"Electronic Markets"},{"issue":"5","key":"537_CR274","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/S0378-7206(01)00107-0","volume":"39","author":"EWT Ngai","year":"2002","unstructured":"Ngai, E. W. T., & Wat, F. K. T. (2002). A literature review and classification of electronic commerce research. Information and Management, 39(5), 415\u2013429. https:\/\/doi.org\/10.1016\/S0378-7206(01)00107-0","journal-title":"Information and Management"},{"key":"537_CR275","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2021.101098","volume":"50","author":"EWT Ngai","year":"2021","unstructured":"Ngai, E. W. T., Lee, M. C. M., Luo, M., Chan, P. S. L., & Liang, T. (2021). An intelligent knowledge-based chatbot for customer service. Electronic Commerce Research and Applications, 50, 101098. https:\/\/doi.org\/10.1016\/j.elerap.2021.101098","journal-title":"Electronic Commerce Research and Applications"},{"issue":"8","key":"537_CR276","doi-asserted-by":"publisher","first-page":"1485","DOI":"10.1287\/mnsc.1110.1370","volume":"57","author":"A Nikolay","year":"2011","unstructured":"Nikolay, A., Anindya, G., & Panagiotis, G. I. (2011). Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8), 1485\u20131509. https:\/\/doi.org\/10.1287\/mnsc.1110.1370","journal-title":"Management Science"},{"issue":"6","key":"537_CR277","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1016\/j.elerap.2015.08.004","volume":"14","author":"M Nilashi","year":"2015","unstructured":"Nilashi, M., & bin Ibrahim, O., Ithnin, N., & Sarmin, N. H. (2015). A multi-criteria collaborative filtering recommender system for the tourism domain using Expectation Maximization (EM) and PCA\u2013ANFIS. Electronic Commerce Research and Applications, 14(6), 542\u2013562. https:\/\/doi.org\/10.1016\/j.elerap.2015.08.004","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR278","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1016\/j.ins.2017.11.014","volume":"429","author":"N Nishimura","year":"2018","unstructured":"Nishimura, N., Sukegawa, N., Takano, Y., & Iwanaga, J. (2018). A latent-class model for estimating product-choice probabilities from clickstream data. Information Sciences, 429, 406\u2013420. https:\/\/doi.org\/10.1016\/j.ins.2017.11.014","journal-title":"Information Sciences"},{"key":"537_CR279","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.ins.2018.07.068","volume":"467","author":"ER N\u00fa\u00f1ez-Valdez","year":"2018","unstructured":"N\u00fa\u00f1ez-Valdez, E. R., Quintana, D., Gonz\u00e1lez Crespo, R., Isasi, P., & Herrera-Viedma, E. (2018). A recommender system based on implicit feedback for selective dissemination of ebooks. Information Sciences, 467, 87\u201398. https:\/\/doi.org\/10.1016\/j.ins.2018.07.068","journal-title":"Information Sciences"},{"key":"537_CR280","doi-asserted-by":"publisher","unstructured":"O\u2019Donovan, J., & Smyth, B. (2005). Trust in recommender systems. International Conference on Intelligent User Interfaces, Proceedings IUI, 167\u2013174. https:\/\/doi.org\/10.1145\/1040830.1040870","DOI":"10.1145\/1040830.1040870"},{"issue":"1","key":"537_CR281","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1111\/deci.12187","volume":"47","author":"S O\u2019Neil","year":"2016","unstructured":"O\u2019Neil, S., Zhao, X., Sun, D., & Wei, J. C. (2016). Newsvendor Problems with Demand Shocks and Unknown Demand Distributions. Decision Sciences, 47(1), 125\u2013156. https:\/\/doi.org\/10.1111\/deci.12187","journal-title":"Decision Sciences"},{"issue":"3","key":"537_CR282","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1080\/07421222.1996.11518135","volume":"13","author":"JR Oliver","year":"1996","unstructured":"Oliver, J. R. (1996). A Machine-Learning Approach to Automated Negotiation and Prospects for Electronic Commerce. Journal of Management Information Systems, 13(3), 83\u2013112. https:\/\/doi.org\/10.1080\/07421222.1996.11518135","journal-title":"Journal of Management Information Systems"},{"key":"537_CR283","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.ins.2016.01.083","volume":"345","author":"F Ortega","year":"2016","unstructured":"Ortega, F., Hernando, A., Bobadilla, J., & Kang, J. H. (2016). Recommending items to group of users using Matrix Factorization based Collaborative Filtering. Information Sciences, 345, 313\u2013324. https:\/\/doi.org\/10.1016\/j.ins.2016.01.083","journal-title":"Information Sciences"},{"key":"537_CR284","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.ins.2013.03.011","volume":"239","author":"F Ortega","year":"2013","unstructured":"Ortega, F., S\u00e1nchez, J. L., Bobadilla, J., & Guti\u00e9rrez, A. (2013). Improving collaborative filtering-based recommender systems results using Pareto dominance. Information Sciences, 239, 50\u201361. https:\/\/doi.org\/10.1016\/j.ins.2013.03.011","journal-title":"Information Sciences"},{"key":"537_CR285","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.elerap.2018.10.003","volume":"32","author":"W Ou","year":"2018","unstructured":"Ou, W., Huynh, V.-N., & Sriboonchitta, S. (2018). Training attractive attribute classifiers based on opinion features extracted from review data. Electronic Commerce Research and Applications, 32, 13\u201322. https:\/\/doi.org\/10.1016\/j.elerap.2018.10.003","journal-title":"Electronic Commerce Research and Applications"},{"issue":"10","key":"537_CR286","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1287\/mnsc.49.10.1327.17310","volume":"49","author":"B Padmanabhan","year":"2003","unstructured":"Padmanabhan, B., & Tuzhilin, A. (2003). On the use of optimization for data mining: Theoretical interactions and eCRM opportunities. Management Science, 49(10), 1327\u20131343. https:\/\/doi.org\/10.1287\/mnsc.49.10.1327.17310","journal-title":"Management Science"},{"key":"537_CR287","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.05.029","volume":"181","author":"G Pang","year":"2019","unstructured":"Pang, G., Wang, X., Hao, F., Xie, J., Wang, X., Lin, Y., & Qin, X. (2019). ACNN-FM: A novel recommender with attention-based convolutional neural network and factorization machines. Knowledge-Based Systems, 181, 104786. https:\/\/doi.org\/10.1016\/j.knosys.2019.05.029","journal-title":"Knowledge-Based Systems"},{"key":"537_CR288","doi-asserted-by":"publisher","DOI":"10.1016\/j.jretconser.2020.102096","volume":"55","author":"E Pantano","year":"2020","unstructured":"Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services, 55, 102096. https:\/\/doi.org\/10.1016\/j.jretconser.2020.102096","journal-title":"Journal of Retailing and Consumer Services"},{"issue":"2","key":"537_CR289","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.im.2014.08.008","volume":"52","author":"G Par\u00e9","year":"2015","unstructured":"Par\u00e9, G., Trudel, M. C., Jaana, M., & Kitsiou, S. (2015). Synthesizing information systems knowledge: A typology of literature reviews. Information and Management, 52(2), 183\u2013199. https:\/\/doi.org\/10.1016\/j.im.2014.08.008","journal-title":"Information and Management"},{"key":"537_CR290","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1016\/j.ins.2020.02.062","volume":"521","author":"C Park","year":"2020","unstructured":"Park, C., Kim, D., Yang, M. C., Lee, J. T., & Yu, H. (2020a). Click-aware purchase prediction with push at the top. Information Sciences, 521, 350\u2013364. https:\/\/doi.org\/10.1016\/j.ins.2020.02.062","journal-title":"Information Sciences"},{"key":"537_CR291","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.104932","volume":"185","author":"C Park","year":"2019","unstructured":"Park, C., Kim, D., & Yu, H. (2019). An encoder\u2013decoder switch network for purchase prediction. Knowledge-Based Systems, 185, 104932. https:\/\/doi.org\/10.1016\/j.knosys.2019.104932","journal-title":"Knowledge-Based Systems"},{"key":"537_CR292","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.06.033","volume":"187","author":"H Park","year":"2020","unstructured":"Park, H., Song, M., & Shin, K.-S. (2020b). Deep learning models and datasets for aspect term sentiment classification: Implementing holistic recurrent attention on target-dependent memories. Knowledge-Based Systems, 187, 104825. https:\/\/doi.org\/10.1016\/j.knosys.2019.06.033","journal-title":"Knowledge-Based Systems"},{"issue":"3","key":"537_CR293","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/S0167-9236(02)00111-2","volume":"35","author":"JH Park","year":"2003","unstructured":"Park, J. H., & Park, S. C. (2003). Agent-based merchandise management in business-to-business electronic commerce. Decision Support Systems, 35(3), 311\u2013333. https:\/\/doi.org\/10.1016\/S0167-9236(02)00111-2","journal-title":"Decision Support Systems"},{"key":"537_CR294","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.knosys.2018.12.016","volume":"166","author":"H Parvin","year":"2019","unstructured":"Parvin, H., Moradi, P., Esmaeili, S., & Qader, N. N. (2019). A scalable and robust trust-based nonnegative matrix factorization recommender using the alternating direction method. Knowledge-Based Systems, 166, 92\u2013107. https:\/\/doi.org\/10.1016\/j.knosys.2018.12.016","journal-title":"Knowledge-Based Systems"},{"issue":"12","key":"537_CR295","doi-asserted-by":"publisher","first-page":"3448","DOI":"10.1016\/j.comnet.2007.02.001","volume":"51","author":"A Patcha","year":"2007","unstructured":"Patcha, A., & Park, J.-M. (2007). An overview of anomaly detection techniques: Existing solutions and latest technological trends. Computer Networks, 51(12), 3448\u20133470. https:\/\/doi.org\/10.1016\/j.comnet.2007.02.001","journal-title":"Computer Networks"},{"key":"537_CR296","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.knosys.2015.03.001","volume":"82","author":"BK Patra","year":"2015","unstructured":"Patra, B. K., Launonen, R., Ollikainen, V., & Nandi, S. (2015). A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data. Knowledge-Based Systems, 82, 163\u2013177. https:\/\/doi.org\/10.1016\/j.knosys.2015.03.001","journal-title":"Knowledge-Based Systems"},{"key":"537_CR297","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, \u00c9. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825\u20132830.","journal-title":"Journal of Machine Learning Research"},{"issue":"3\u20134","key":"537_CR298","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1080\/10919392.2006.9681201","volume":"16","author":"PC Pendharkar","year":"2006","unstructured":"Pendharkar, P. C. (2006). Inductive Regression Tree and Genetic Programming Techniques for Learning User Web Search Preferences. Journal of Organizational Computing and Electronic Commerce, 16(3\u20134), 223\u2013245. https:\/\/doi.org\/10.1080\/10919392.2006.9681201","journal-title":"Journal of Organizational Computing and Electronic Commerce"},{"key":"537_CR299","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2020.102138","volume":"54","author":"S Pengnate Fone","year":"2020","unstructured":"Pengnate (Fone), S., & Riggins, F. J. (2020). The role of emotion in P2P microfinance funding: A sentiment analysis approach. International Journal of Information Management, 54, 102138. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2020.102138","journal-title":"International Journal of Information Management"},{"issue":"3","key":"537_CR300","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1287\/ISRE.2019.0907","volume":"31","author":"J Pfeiffer","year":"2020","unstructured":"Pfeiffer, J., Pfeiffer, T., Mei\u00dfner, M., & Wei\u00df, E. (2020). Eye-tracking-based classification of information search behavior using machine learning: Evidence from experiments in physical shops and virtual reality shopping environments. Information Systems Research, 31(3), 675\u2013691. https:\/\/doi.org\/10.1287\/ISRE.2019.0907","journal-title":"Information Systems Research"},{"issue":"2","key":"537_CR301","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/S1567-4223(03)00012-7","volume":"2","author":"E Pontelli","year":"2003","unstructured":"Pontelli, E., & Son, T. C. (2003). Designing intelligent agents to support universal accessibility of E-commerce services. Electronic Commerce Research and Applications, 2(2), 147\u2013161. https:\/\/doi.org\/10.1016\/S1567-4223(03)00012-7","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR302","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2019.100917","volume":"40","author":"F Pourgholamali","year":"2020","unstructured":"Pourgholamali, F., Kahani, M., & Bagheri, E. (2020). A neural graph embedding approach for selecting review sentences. Electronic Commerce Research and Applications, 40, 100917. https:\/\/doi.org\/10.1016\/j.elerap.2019.100917","journal-title":"Electronic Commerce Research and Applications"},{"issue":"3","key":"537_CR303","doi-asserted-by":"publisher","first-page":"223","DOI":"10.5267\/j.ijdns.2019.2.003","volume":"3","author":"A Pourkhani","year":"2019","unstructured":"Pourkhani, A., Abdipour, K., Baher, B., & Moslehpour, M. (2019). The impact of social media in business growth and performance: A scientometrics analysis. International Journal of Data and Network Science, 3(3), 223\u2013244. https:\/\/doi.org\/10.5267\/j.ijdns.2019.2.003","journal-title":"International Journal of Data and Network Science"},{"issue":"5","key":"537_CR304","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.1111\/deci.12376","volume":"51","author":"S Praet","year":"2020","unstructured":"Praet, S., & Martens, D. (2020). Efficient Parcel Delivery by Predicting Customers\u2019 Locations*. Decision Sciences, 51(5), 1202\u20131231. https:\/\/doi.org\/10.1111\/deci.12376","journal-title":"Decision Sciences"},{"key":"537_CR305","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.elerap.2016.09.005","volume":"20","author":"I Pranata","year":"2016","unstructured":"Pranata, I., & Susilo, W. (2016). Are the most popular users always trustworthy? The case of Yelp. Electronic Commerce Research and Applications, 20, 30\u201341. https:\/\/doi.org\/10.1016\/j.elerap.2016.09.005","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR306","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.elerap.2015.11.004","volume":"15","author":"S Preibusch","year":"2016","unstructured":"Preibusch, S., Peetz, T., Acar, G., & Berendt, B. (2016). Shopping for privacy: Purchase details leaked to PayPal. Electronic Commerce Research and Applications, 15, 52\u201364. https:\/\/doi.org\/10.1016\/j.elerap.2015.11.004","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR307","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.ins.2020.05.022","volume":"536","author":"N Pr\u00f6llochs","year":"2020","unstructured":"Pr\u00f6llochs, N., Feuerriegel, S., Lutz, B., & Neumann, D. (2020). Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations. Information Sciences, 536, 205\u2013221. https:\/\/doi.org\/10.1016\/j.ins.2020.05.022","journal-title":"Information Sciences"},{"issue":"6","key":"537_CR308","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1016\/j.knosys.2007.04.004","volume":"20","author":"P Pu","year":"2007","unstructured":"Pu, P., & Chen, L. (2007). Trust-inspiring explanation interfaces for recommender systems. Knowledge-Based Systems, 20(6), 542\u2013556. https:\/\/doi.org\/10.1016\/j.knosys.2007.04.004","journal-title":"Knowledge-Based Systems"},{"key":"537_CR309","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.ins.2019.03.064","volume":"490","author":"A Pujahari","year":"2019","unstructured":"Pujahari, A., & Sisodia, D. S. (2019). Modeling Side Information in Preference Relation based Restricted Boltzmann Machine for recommender systems. Information Sciences, 490, 126\u2013145. https:\/\/doi.org\/10.1016\/j.ins.2019.03.064","journal-title":"Information Sciences"},{"issue":"8","key":"537_CR310","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1016\/j.im.2016.06.002","volume":"53","author":"J Qi","year":"2016","unstructured":"Qi, J., Zhang, Z., Jeon, S., & Zhou, Y. (2016). Mining customer requirements from online reviews: A product improvement perspective. Information and Management, 53(8), 951\u2013963. https:\/\/doi.org\/10.1016\/j.im.2016.06.002","journal-title":"Information and Management"},{"key":"537_CR311","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.ins.2018.04.009","volume":"451\u2013452","author":"J Qiu","year":"2018","unstructured":"Qiu, J., Liu, C., Li, Y., & Lin, Z. (2018). Leveraging sentiment analysis at the aspects level to predict ratings of reviews. Information Sciences, 451\u2013452, 295\u2013309. https:\/\/doi.org\/10.1016\/j.ins.2018.04.009","journal-title":"Information Sciences"},{"issue":"4","key":"537_CR312","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1007\/s007780100057","volume":"10","author":"E Rahm","year":"2001","unstructured":"Rahm, E., & Bernstein, P. A. (2001). A survey of approaches to automatic schema matching. VLDB Journal, 10(4), 334\u2013350. https:\/\/doi.org\/10.1007\/s007780100057","journal-title":"VLDB Journal"},{"key":"537_CR313","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.elerap.2016.12.005","volume":"21","author":"N Ranjbar Kermany","year":"2017","unstructured":"Ranjbar Kermany, N., & Alizadeh, S. H. (2017). A hybrid multi-criteria recommender system using ontology and neuro-fuzzy techniques. Electronic Commerce Research and Applications, 21, 50\u201364. https:\/\/doi.org\/10.1016\/j.elerap.2016.12.005","journal-title":"Electronic Commerce Research and Applications"},{"issue":"8","key":"537_CR314","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1016\/j.im.2016.04.005","volume":"53","author":"Y Rao","year":"2016","unstructured":"Rao, Y., Xie, H., Li, J., Jin, F., Wang, F. L., & Li, Q. (2016). Social emotion classification of short text via topic-level maximum entropy model. Information and Management, 53(8), 978\u2013986. https:\/\/doi.org\/10.1016\/j.im.2016.04.005","journal-title":"Information and Management"},{"key":"537_CR315","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2015.06.015","volume":"89","author":"K Ravi","year":"2015","unstructured":"Ravi, K., & Ravi, V. (2015). A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. Knowledge-Based Systems, 89, 14\u201346. https:\/\/doi.org\/10.1016\/j.knosys.2015.06.015","journal-title":"Knowledge-Based Systems"},{"key":"537_CR316","doi-asserted-by":"publisher","unstructured":"Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994). GroupLens: An open architecture for collaborative filtering of netnews. Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, CSCW 1994, 175\u2013186. https:\/\/doi.org\/10.1145\/192844.192905","DOI":"10.1145\/192844.192905"},{"issue":"3","key":"537_CR317","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/245108.245121","volume":"40","author":"P Resnick","year":"1997","unstructured":"Resnick, P., & Varian, H. R. (1997). Recommender Systems. Communications of the ACM, 40(3), 56\u201358. https:\/\/doi.org\/10.1145\/245108.245121","journal-title":"Communications of the ACM"},{"issue":"13","key":"537_CR318","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.1080\/00036846.2017.1363865","volume":"50","author":"M Rhaiem","year":"2018","unstructured":"Rhaiem, M., & Bornmann, L. (2018). Reference Publication Year Spectroscopy (RPYS) with publications in the area of academic efficiency studies: What are the historical roots of this research topic? Applied Economics, 50(13), 1442\u20131453. https:\/\/doi.org\/10.1080\/00036846.2017.1363865","journal-title":"Applied Economics"},{"key":"537_CR319","first-page":"1","volume-title":"Introduction to recommender systems handbook. In Recommender systems handbook","author":"F Ricci","year":"2011","unstructured":"Ricci, F., Rokach, L., & Shapira, B. (2011). Introduction to recommender systems handbook. In Recommender systems handbook (pp. 1\u201335). Springer."},{"issue":"3","key":"537_CR320","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1007\/s12525-020-00398-4","volume":"31","author":"MJ Ryoba","year":"2021","unstructured":"Ryoba, M. J., Qu, S., & Zhou, Y. (2021). Feature subset selection for predicting the success of crowdfunding project campaigns. Electronic Markets, 31(3), 671\u2013684. https:\/\/doi.org\/10.1007\/s12525-020-00398-4","journal-title":"Electronic Markets"},{"issue":"1","key":"537_CR321","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s10462-004-0041-5","volume":"24","author":"J Sabater","year":"2005","unstructured":"Sabater, J., & Sierra, C. (2005). Review on computational trust and reputation models. Artificial Intelligence Review, 24(1), 33\u201360. https:\/\/doi.org\/10.1007\/s10462-004-0041-5","journal-title":"Artificial Intelligence Review"},{"key":"537_CR322","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1145\/1273496.1273596","volume":"227","author":"R Salakhutdinov","year":"2007","unstructured":"Salakhutdinov, R., Mnih, A., & Hinton, G. (2007). Restricted Boltzmann machines for collaborative filtering. ACM International Conference Proceeding Series, 227, 791\u2013798. https:\/\/doi.org\/10.1145\/1273496.1273596","journal-title":"ACM International Conference Proceeding Series"},{"key":"537_CR323","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.knosys.2014.12.002","volume":"75","author":"AI Saleh","year":"2015","unstructured":"Saleh, A. I., El Desouky, A. I., & Ali, S. H. (2015). Promoting the performance of vertical recommendation systems by applying new classification techniques. Knowledge-Based Systems, 75, 192\u2013223. https:\/\/doi.org\/10.1016\/j.knosys.2014.12.002","journal-title":"Knowledge-Based Systems"},{"key":"537_CR324","doi-asserted-by":"publisher","unstructured":"Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms. Proceedings of the 10th International Conference on World Wide Web, WWW 2001, 285\u2013295. https:\/\/doi.org\/10.1145\/371920.372071","DOI":"10.1145\/371920.372071"},{"key":"537_CR325","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.elerap.2018.03.008","volume":"29","author":"S Saumya","year":"2018","unstructured":"Saumya, S., Singh, J. P., Baabdullah, A. M., Rana, N. P., & Dwivedi, Y. K. (2018). Ranking online consumer reviews. Electronic Commerce Research and Applications, 29, 78\u201389. https:\/\/doi.org\/10.1016\/j.elerap.2018.03.008","journal-title":"Electronic Commerce Research and Applications"},{"issue":"1","key":"537_CR326","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1023\/A:1009804230409","volume":"5","author":"JB Schafer","year":"2001","unstructured":"Schafer, J. B., Konstan, J. A., & Riedl, J. (2001). E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery, 5(1), 115\u2013153. https:\/\/doi.org\/10.1023\/A:1009804230409","journal-title":"Data Mining and Knowledge Discovery"},{"key":"537_CR327","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J. (2015). Deep Learning in neural networks: An overview. Neural Networks, 61, 85\u2013117. https:\/\/doi.org\/10.1016\/j.neunet.2014.09.003","journal-title":"Neural Networks"},{"issue":"Sep","key":"537_CR328","first-page":"1265","volume":"6","author":"G Shani","year":"2005","unstructured":"Shani, G., Heckerman, D., & Brafman, R. I. (2005). An MDP-based recommender system. Journal of Machine Learning Research, 6(Sep), 1265\u20131295.","journal-title":"Journal of Machine Learning Research"},{"key":"537_CR329","doi-asserted-by":"publisher","unstructured":"Shardanand, U., & Maes, P. (1995). Social information filtering. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 210\u2013217. https:\/\/doi.org\/10.1145\/223904.223931","DOI":"10.1145\/223904.223931"},{"issue":"6","key":"537_CR330","doi-asserted-by":"publisher","first-page":"1347","DOI":"10.1111\/deci.12429","volume":"51","author":"Y Shi","year":"2020","unstructured":"Shi, Y., Wang, T., & Alwan, L. C. (2020). Analytics for Cross-Border E-Commerce: Inventory Risk Management of an Online Fashion Retailer. Decision Sciences, 51(6), 1347\u20131376. https:\/\/doi.org\/10.1111\/deci.12429","journal-title":"Decision Sciences"},{"key":"537_CR331","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.knosys.2017.04.013","volume":"128","author":"Y Si","year":"2017","unstructured":"Si, Y., Zhang, F., & Liu, W. (2017). CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features. Knowledge-Based Systems, 128, 59\u201370. https:\/\/doi.org\/10.1016\/j.knosys.2017.04.013","journal-title":"Knowledge-Based Systems"},{"key":"537_CR332","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.dss.2017.03.007","volume":"97","author":"A Singh","year":"2017","unstructured":"Singh, A., & Tucker, C. S. (2017). A machine learning approach to product review disambiguation based on function, form and behavior classification. Decision Support Systems, 97, 81\u201391. https:\/\/doi.org\/10.1016\/j.dss.2017.03.007","journal-title":"Decision Support Systems"},{"key":"537_CR333","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2019.101324","volume":"47","author":"K Sohn","year":"2020","unstructured":"Sohn, K., & Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47, 101324. https:\/\/doi.org\/10.1016\/j.tele.2019.101324","journal-title":"Telematics and Informatics"},{"issue":"6","key":"537_CR334","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/MIC.2005.136","volume":"9","author":"S Song","year":"2005","unstructured":"Song, S., Hwang, K., Zhou, R., & Kwok, Y. K. (2005). Trusted P2P transactions with fuzzy reputation aggregation. IEEE Internet Computing, 9(6), 24\u201334. https:\/\/doi.org\/10.1109\/MIC.2005.136","journal-title":"IEEE Internet Computing"},{"key":"537_CR335","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2020.113475","volume":"142","author":"DR St\u00f6ckli","year":"2021","unstructured":"St\u00f6ckli, D. R., & Khobzi, H. (2021). Recommendation systems and convergence of online reviews: The type of product network matters! Decision Support Systems, 142, 113475. https:\/\/doi.org\/10.1016\/j.dss.2020.113475","journal-title":"Decision Support Systems"},{"issue":"2","key":"537_CR336","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/s12525-019-00359-6","volume":"30","author":"E Stoeckli","year":"2020","unstructured":"Stoeckli, E., Dremel, C., Uebernickel, F., & Brenner, W. (2020). How affordances of chatbots cross the chasm between social and traditional enterprise systems. Electronic Markets, 30(2), 369\u2013403. https:\/\/doi.org\/10.1007\/s12525-019-00359-6","journal-title":"Electronic Markets"},{"key":"537_CR337","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2009\/421425","volume":"2009","author":"X Su","year":"2009","unstructured":"Su, X., & Khoshgoftaar, T. M. (2009). A Survey of Collaborative Filtering Techniques. Advances in Artificial Intelligence, 2009, 1\u201319. https:\/\/doi.org\/10.1155\/2009\/421425","journal-title":"Advances in Artificial Intelligence"},{"key":"537_CR338","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105875","volume":"197","author":"G Suchacka","year":"2020","unstructured":"Suchacka, G., & Iwa\u0144ski, J. (2020). Identifying legitimate Web users and bots with different traffic profiles \u2014 an Information Bottleneck approach. Knowledge-Based Systems, 197, 105875. https:\/\/doi.org\/10.1016\/j.knosys.2020.105875","journal-title":"Knowledge-Based Systems"},{"issue":"3","key":"537_CR339","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1111\/deci.12229","volume":"48","author":"HK Sul","year":"2017","unstructured":"Sul, H. K., Dennis, A. R., & Yuan, L. I. (2017). Trading on Twitter: Using Social Media Sentiment to Predict Stock Returns. Decision Sciences, 48(3), 454\u2013488. https:\/\/doi.org\/10.1111\/deci.12229","journal-title":"Decision Sciences"},{"issue":"5","key":"537_CR340","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2019.103181","volume":"57","author":"Y Sun","year":"2020","unstructured":"Sun, Y., Liu, X., Chen, G., Hao, Y., & Zhang (Justin), Z. (2020). How mood affects the stock market: Empirical evidence from microblogs. Information & Management, 57(5), 103181. https:\/\/doi.org\/10.1016\/j.im.2019.103181","journal-title":"Information & Management"},{"key":"537_CR341","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2021.102382","volume":"60","author":"E Sung Christine","year":"2021","unstructured":"Sung (Christine), E., Bae, S., Han, D.-I.D., & Kwon, O. (2021). Consumer engagement via interactive artificial intelligence and mixed reality. International Journal of Information Management, 60, 102382. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2021.102382","journal-title":"International Journal of Information Management"},{"key":"537_CR342","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/CVPR.2015.7298594","volume":"2015","author":"C Szegedy","year":"2015","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015). Going deeper with convolutions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, 1\u20139. https:\/\/doi.org\/10.1109\/CVPR.2015.7298594","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"issue":"11","key":"537_CR343","doi-asserted-by":"publisher","first-page":"1584","DOI":"10.1016\/j.ins.2008.11.026","volume":"179","author":"H Takeuchi","year":"2009","unstructured":"Takeuchi, H., Subramaniam, L. V., Nasukawa, T., & Roy, S. (2009). Getting insights from the voices of customers: Conversation mining at a contact center. Information Sciences, 179(11), 1584\u20131591. https:\/\/doi.org\/10.1016\/j.ins.2008.11.026","journal-title":"Information Sciences"},{"issue":"3","key":"537_CR344","doi-asserted-by":"publisher","first-page":"582","DOI":"10.0487\/isj.12221","volume":"29","author":"FTC Tan","year":"2019","unstructured":"Tan, F. T. C., Pan, S. L., & Zuo, M. (2019). Realising platform operational agility through information technology\u2013enabled capabilities: A resource-interdependence perspective. Information Systems Journal, 29(3), 582\u2013608. https:\/\/doi.org\/10.0487\/isj.12221","journal-title":"Information Systems Journal"},{"issue":"3","key":"537_CR345","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.im.2007.04.001","volume":"44","author":"J Tan","year":"2007","unstructured":"Tan, J., Tyler, K., & Manica, A. (2007). Business-to-business adoption of eCommerce in China. Information & Management, 44(3), 332\u2013351. https:\/\/doi.org\/10.1016\/j.im.2007.04.001","journal-title":"Information & Management"},{"issue":"1","key":"537_CR346","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1023\/A:1013228602957","volume":"6","author":"P-N Tan","year":"2002","unstructured":"Tan, P.-N., & Kumar, V. (2002). Discovery of Web Robot Sessions Based on their Navigational Patterns. Data Mining and Knowledge Discovery, 6(1), 9\u201335. https:\/\/doi.org\/10.1023\/A:1013228602957","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"4","key":"537_CR347","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/S0167-9236(00)00085-3","volume":"29","author":"Y-H Tan","year":"2000","unstructured":"Tan, Y.-H., & Thoen, W. (2000). INCAS: A legal expert system for contract terms in electronic commerce. Decision Support Systems, 29(4), 389\u2013411. https:\/\/doi.org\/10.1016\/S0167-9236(00)00085-3","journal-title":"Decision Support Systems"},{"key":"537_CR348","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.ins.2020.03.089","volume":"535","author":"P Tang","year":"2020","unstructured":"Tang, P., Qiu, W., Huang, Z., Chen, S., Yan, M., Lian, H., & Li, Z. (2020). Anomaly detection in electronic invoice systems based on machine learning. Information Sciences, 535, 172\u2013186. https:\/\/doi.org\/10.1016\/j.ins.2020.03.089","journal-title":"Information Sciences"},{"key":"537_CR349","doi-asserted-by":"publisher","unstructured":"Templier, M., & Par\u00e9, G. (2015). A framework for guiding and evaluating literature reviews. Communications of the Association for Information Systems, 37(1), 112\u2013137.\u00a0https:\/\/doi.org\/10.17705\/1CAIS.03706","DOI":"10.17705\/1CAIS.03706"},{"key":"537_CR350","doi-asserted-by":"publisher","unstructured":"Thiebes, S., Lins, S., & Sunyaev, A. (2021). Trustworthy artificial intelligence. Electronic Markets, 31(2). https:\/\/doi.org\/10.1007\/s12525-020-00441-4","DOI":"10.1007\/s12525-020-00441-4"},{"key":"537_CR351","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.elerap.2015.10.003","volume":"16","author":"F Tian","year":"2016","unstructured":"Tian, F., Wu, F., Chao, K. M., Zheng, Q., Shah, N., Lan, T., & Yue, J. (2016). A topic sentence-based instance transfer method for imbalanced sentiment classification of Chinese product reviews. Electronic Commerce Research and Applications, 16, 66\u201376. https:\/\/doi.org\/10.1016\/j.elerap.2015.10.003","journal-title":"Electronic Commerce Research and Applications"},{"issue":"3","key":"537_CR352","doi-asserted-by":"publisher","first-page":"360","DOI":"10.3390\/jcm8030360","volume":"8","author":"B Tran","year":"2019","unstructured":"Tran, B., Vu, G., Ha, G., Vuong, Q.-H., Ho, M.-T., Vuong, T.-T., La, V.-P., Ho, M.-T., Nghiem, K.-C., Nguyen, H., Latkin, C., Tam, W., Cheung, N.-M., Nguyen, H.-K., Ho, C., & Ho, R. (2019). Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study. Journal of Clinical Medicine, 8(3), 360. https:\/\/doi.org\/10.3390\/jcm8030360","journal-title":"Journal of Clinical Medicine"},{"issue":"1","key":"537_CR353","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s10660-017-9272-9","volume":"18","author":"K-K Tseng","year":"2018","unstructured":"Tseng, K.-K., Lin, R.F.-Y., Zhou, H., Kurniajaya, K. J., & Li, Q. (2018). Price prediction of e-commerce products through Internet sentiment analysis. Electronic Commerce Research, 18(1), 65\u201388. https:\/\/doi.org\/10.1007\/s10660-017-9272-9","journal-title":"Electronic Commerce Research"},{"key":"537_CR354","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2018.03.025","volume":"104","author":"L Vanneschi","year":"2018","unstructured":"Vanneschi, L., Horn, D. M., Castelli, M., & Popovi\u010d, A. (2018). An artificial intelligence system for predicting customer default in e-commerce. Expert Systems with Applications, 104, 1\u201321. https:\/\/doi.org\/10.1016\/j.eswa.2018.03.025","journal-title":"Expert Systems with Applications"},{"key":"537_CR355","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.knosys.2017.07.003","volume":"133","author":"D Varshney","year":"2017","unstructured":"Varshney, D., Kumar, S., & Gupta, V. (2017). Predicting information diffusion probabilities in social networks: A Bayesian networks based approach. Knowledge-Based Systems, 133, 66\u201376. https:\/\/doi.org\/10.1016\/j.knosys.2017.07.003","journal-title":"Knowledge-Based Systems"},{"key":"537_CR356","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.knosys.2012.07.001","volume":"36","author":"A Viejo","year":"2012","unstructured":"Viejo, A., S\u00e1nchez, D., & Castell\u00e0-Roca, J. (2012). Preventing automatic user profiling in Web 2.0 applications. Knowledge-Based Systems, 36, 191\u2013205. https:\/\/doi.org\/10.1016\/j.knosys.2012.07.001","journal-title":"Knowledge-Based Systems"},{"key":"537_CR357","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.knosys.2017.11.003","volume":"140","author":"NM Villegas","year":"2018","unstructured":"Villegas, N. M., S\u00e1nchez, C., D\u00edaz-Cely, J., & Tamura, G. (2018). Characterizing context-aware recommender systems: A systematic literature review. Knowledge-Based Systems, 140, 173\u2013200. https:\/\/doi.org\/10.1016\/j.knosys.2017.11.003","journal-title":"Knowledge-Based Systems"},{"key":"537_CR358","doi-asserted-by":"publisher","unstructured":"Viswanathan, S., Guillot, F., & Grasso, A. M. (2020). What is natural?: Challenges and opportunities for conversational recommender systems. ACM International Conference Proceeding Series, 1\u20134. https:\/\/doi.org\/10.1145\/3405755.3406174","DOI":"10.1145\/3405755.3406174"},{"key":"537_CR359","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.knosys.2015.02.016","volume":"82","author":"AL Vizine Pereira","year":"2015","unstructured":"Vizine Pereira, A. L., & Hruschka, E. R. (2015). Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowledge-Based Systems, 82, 11\u201319. https:\/\/doi.org\/10.1016\/j.knosys.2015.02.016","journal-title":"Knowledge-Based Systems"},{"issue":"15","key":"537_CR360","doi-asserted-by":"publisher","first-page":"3017","DOI":"10.1016\/j.ins.2007.02.036","volume":"177","author":"MG Vozalis","year":"2007","unstructured":"Vozalis, M. G., & Margaritis, K. G. (2007). Using SVD and demographic data for the enhancement of generalized Collaborative Filtering. Information Sciences, 177(15), 3017\u20133037. https:\/\/doi.org\/10.1016\/j.ins.2007.02.036","journal-title":"Information Sciences"},{"issue":"7","key":"537_CR361","doi-asserted-by":"publisher","first-page":"1848","DOI":"10.1016\/j.ins.2007.11.018","volume":"178","author":"F-H Wang","year":"2008","unstructured":"Wang, F.-H. (2008). On discovery of soft associations with \u201cmost\u201d fuzzy quantifier for item promotion applications. Information Sciences, 178(7), 1848\u20131876. https:\/\/doi.org\/10.1016\/j.ins.2007.11.018","journal-title":"Information Sciences"},{"key":"537_CR362","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.knosys.2011.06.020","volume":"26","author":"G Wang","year":"2012","unstructured":"Wang, G., Ma, J., Huang, L., & Xu, K. (2012). Two credit scoring models based on dual strategy ensemble trees. Knowledge-Based Systems, 26, 61\u201368. https:\/\/doi.org\/10.1016\/j.knosys.2011.06.020","journal-title":"Knowledge-Based Systems"},{"key":"537_CR363","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.04.015","author":"H-C Wang","year":"2018","unstructured":"Wang, H.-C., Jhou, H.-T., & Tsai, Y.-S. (2018a). Adapting topic map and social influence to the personalized hybrid recommender system. Information Sciences. https:\/\/doi.org\/10.1016\/j.ins.2018.04.015","journal-title":"Information Sciences"},{"issue":"6","key":"537_CR364","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1016\/j.ijinfomgt.2010.03.006","volume":"30","author":"HC Wang","year":"2010","unstructured":"Wang, H. C., & Doong, H. S. (2010). Argument form and spokesperson type: The recommendation strategy of virtual salespersons. International Journal of Information Management, 30(6), 493\u2013501. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2010.03.006","journal-title":"International Journal of Information Management"},{"key":"537_CR365","doi-asserted-by":"publisher","unstructured":"Wang, H., Wang, N., & Yeung, D. Y. (2015). Collaborative deep learning for recommender systems. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015-Augus, 1235\u20131244. https:\/\/doi.org\/10.1145\/2783258.2783273","DOI":"10.1145\/2783258.2783273"},{"issue":"2","key":"537_CR366","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1287\/isre.2017.0735","volume":"29","author":"Q Wang","year":"2018","unstructured":"Wang, Q., Li, B., & Singh, P. V. (2018). Copycats vs. original mobile apps: A machine learning copycat-detection method and empirical analysis. Information Systems Research, 29(2), 273\u2013291. https:\/\/doi.org\/10.1287\/isre.2017.0735","journal-title":"Information Systems Research"},{"key":"537_CR367","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.elerap.2018.04.003","volume":"29","author":"W Wang","year":"2018","unstructured":"Wang, W., Feng, Y., & Dai, W. (2018c). Topic analysis of online reviews for two competitive products using latent Dirichlet allocation. Electronic Commerce Research and Applications, 29, 142\u2013156. https:\/\/doi.org\/10.1016\/j.elerap.2018.04.003","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR368","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.elerap.2018.03.003","volume":"29","author":"Y Wang","year":"2018","unstructured":"Wang, Y., Lu, X., & Tan, Y. (2018d). Impact of product attributes on customer satisfaction: An analysis of online reviews for washing machines. Electronic Commerce Research and Applications, 29, 1\u201311. https:\/\/doi.org\/10.1016\/j.elerap.2018.03.003","journal-title":"Electronic Commerce Research and Applications"},{"issue":"1","key":"537_CR369","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1057\/palgrave.jit.2000034","volume":"20","author":"J Wareham","year":"2005","unstructured":"Wareham, J., Zheng, J. G., & Straub, D. (2005). Critical themes in electronic commerce research: A meta-analysis. Journal of Information Technology, 20(1), 1\u201319. https:\/\/doi.org\/10.1057\/palgrave.jit.2000034","journal-title":"Journal of Information Technology"},{"key":"537_CR370","doi-asserted-by":"publisher","unstructured":"Watson, G. R., & Rasmussen, C. E. (2008). An integrated environment for the development of parallel applications. Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, 11(2), 19\u201334. https:\/\/doi.org\/10.1007\/978-3-540-68564-7","DOI":"10.1007\/978-3-540-68564-7"},{"key":"537_CR371","unstructured":"Webster, J., & Watson, R. T. (2002). Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly, 26(2), xiii\u2013xxiii. 10.1.1.104.6570"},{"issue":"3","key":"537_CR372","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1057\/palgrave.ejis.3000429","volume":"11","author":"CP Wei","year":"2002","unstructured":"Wei, C. P., Hu, P. J., & Dong, Y. X. (2002). Managing document categories in e-commerce environments: An evolution-based approach. European Journal of Information Systems, 11(3), 208\u2013222. https:\/\/doi.org\/10.1057\/palgrave.ejis.3000429","journal-title":"European Journal of Information Systems"},{"key":"537_CR373","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.eswa.2016.09.040","volume":"69","author":"J Wei","year":"2017","unstructured":"Wei, J., He, J., Chen, K., Zhou, Y., & Tang, Z. (2017). Collaborative filtering and deep learning based recommendation system for cold start items. Expert Systems with Applications, 69, 29\u201339. https:\/\/doi.org\/10.1016\/j.eswa.2016.09.040","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"537_CR374","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1057\/isre.2015.0568","volume":"26","author":"A Wenxuan Ding","year":"2015","unstructured":"Wenxuan Ding, A., Li, S., & Chatterjee, P. (2015). Learning User Real-Time Intent for Optimal Dynamic Web Page Transformation. Information Systems Research, 26(2), 339\u2013359. https:\/\/doi.org\/10.1057\/isre.2015.0568","journal-title":"Information Systems Research"},{"issue":"4","key":"537_CR375","doi-asserted-by":"publisher","first-page":"286","DOI":"10.1177\/0268396220925830","volume":"35","author":"L Willcocks","year":"2020","unstructured":"Willcocks, L. (2020a). Robo-Apocalypse cancelled? Reframing the automation and future of work debate. Journal of Information Technology, 35(4), 286\u2013302. https:\/\/doi.org\/10.1177\/0268396220925830","journal-title":"Journal of Information Technology"},{"issue":"2","key":"537_CR376","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1177\/0268396220978660","volume":"36","author":"L Willcocks","year":"2020","unstructured":"Willcocks, L. (2020b). Robo-Apocalypse? Response and outlook on the post-COVID-19 future of work. Journal of Information Technology, 36(2), 188\u2013194. https:\/\/doi.org\/10.1177\/0268396220978660","journal-title":"Journal of Information Technology"},{"key":"537_CR377","doi-asserted-by":"publisher","unstructured":"Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical Machine Learning Tools and Techniques. In Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann. https:\/\/doi.org\/10.1016\/c2009-0-19715-5","DOI":"10.1016\/c2009-0-19715-5"},{"key":"537_CR378","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.ins.2018.10.011","volume":"476","author":"B Wu","year":"2019","unstructured":"Wu, B., Ye, Y., & Chen, Y. (2019). Visual appearance or functional complementarity: Which aspect affects your decision making? Information Sciences, 476, 19\u201337. https:\/\/doi.org\/10.1016\/j.ins.2018.10.011","journal-title":"Information Sciences"},{"key":"537_CR379","doi-asserted-by":"publisher","unstructured":"Wu, J., Huang, L., & Zhao, J. L. (2019). Operationalizing regulatory focus in the digital age: Evidence from an e-commerce context. MIS Quarterly, 43(3), 745\u2013764. https:\/\/doi.org\/10.25300\/MISQ\/2019\/14420","DOI":"10.25300\/MISQ\/2019\/14420"},{"issue":"3","key":"537_CR380","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.elerap.2010.11.002","volume":"10","author":"RS Wu","year":"2011","unstructured":"Wu, R. S., & Chou, P. H. (2011). Customer segmentation of multiple category data in e-commerce using a soft-clustering approach. Electronic Commerce Research and Applications, 10(3), 331\u2013341. https:\/\/doi.org\/10.1016\/j.elerap.2010.11.002","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR381","doi-asserted-by":"publisher","unstructured":"Xia, H., Wei, X., An, W., Zhang, Z. J., & Sun, Z. (2021). Design of electronic-commerce recommendation systems based on outlier mining. Electronic Markets, 31(2). https:\/\/doi.org\/10.1007\/s12525-020-00435-2","DOI":"10.1007\/s12525-020-00435-2"},{"issue":"1","key":"537_CR382","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.knosys.2014.04.011","volume":"69","author":"F Xie","year":"2014","unstructured":"Xie, F., Chen, Z., Shang, J., & Fox, G. C. (2014). Grey Forecast model for accurate recommendation in presence of data sparsity and correlation. Knowledge-Based Systems, 69(1), 179\u2013190. https:\/\/doi.org\/10.1016\/j.knosys.2014.04.011","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"537_CR383","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2021.103428","volume":"58","author":"J Xiong","year":"2021","unstructured":"Xiong, J., Yu, L., Zhang, D., & Leng, Y. (2021). DNCP: An attention-based deep learning approach enhanced with attractiveness and timeliness of News for online news click prediction. Information and Management, 58(2), 103428. https:\/\/doi.org\/10.1016\/j.im.2021.103428","journal-title":"Information and Management"},{"key":"537_CR384","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.ins.2019.07.081","volume":"505","author":"Y Xu","year":"2019","unstructured":"Xu, Y., Yang, Y., Han, J., Wang, E., Ming, J., & Xiong, H. (2019). Slanderous user detection with modified recurrent neural networks in recommender system. Information Sciences, 505, 265\u2013281. https:\/\/doi.org\/10.1016\/j.ins.2019.07.081","journal-title":"Information Sciences"},{"key":"537_CR385","doi-asserted-by":"publisher","unstructured":"Xue, G. R., Lin, C., Yang, Q., Xi, W., Zeng, H. J., Yu, Y., & Chen, Z. (2005). Scalable collaborative filtering using cluster-based smoothing. SIGIR 2005 - Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 114\u2013121. https:\/\/doi.org\/10.1145\/1076034.1076056","DOI":"10.1145\/1076034.1076056"},{"key":"537_CR386","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.ins.2014.09.036","volume":"318","author":"SR Yan","year":"2015","unstructured":"Yan, S. R., Zheng, X. L., Wang, Y., Song, W. W., & Zhang, W. Y. (2015). A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce. Information Sciences, 318, 51\u201372. https:\/\/doi.org\/10.1016\/j.ins.2014.09.036","journal-title":"Information Sciences"},{"key":"537_CR387","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1016\/j.ijinfomgt.2018.11.013","volume":"50","author":"Y Yan","year":"2020","unstructured":"Yan, Y., Huang, C., Wang, Q., & Hu, B. (2020). Data mining of customer choice behavior in internet of things within relationship network. International Journal of Information Management, 50, 566\u2013574. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2018.11.013","journal-title":"International Journal of Information Management"},{"key":"537_CR388","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.knosys.2016.08.011","volume":"111","author":"Z Yang","year":"2016","unstructured":"Yang, Z., Cai, Z., & Guan, X. (2016a). Estimating user behavior toward detecting anomalous ratings in rating systems. Knowledge-Based Systems, 111, 144\u2013158. https:\/\/doi.org\/10.1016\/j.knosys.2016.08.011","journal-title":"Knowledge-Based Systems"},{"key":"537_CR389","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.knosys.2016.02.008","volume":"100","author":"Z Yang","year":"2016","unstructured":"Yang, Z., Xu, L., Cai, Z., & Xu, Z. (2016b). Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. Knowledge-Based Systems, 100, 74\u201388. https:\/\/doi.org\/10.1016\/j.knosys.2016.02.008","journal-title":"Knowledge-Based Systems"},{"key":"537_CR390","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.elerap.2018.10.004","volume":"32","author":"X Ye","year":"2018","unstructured":"Ye, X., Dong, L., & Ma, D. (2018). Loan evaluation in P2P lending based on Random Forest optimized by genetic algorithm with profit score. Electronic Commerce Research and Applications, 32, 23\u201336. https:\/\/doi.org\/10.1016\/j.elerap.2018.10.004","journal-title":"Electronic Commerce Research and Applications"},{"issue":"3","key":"537_CR391","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1007\/s12525-021-00472-5","volume":"31","author":"D Yim","year":"2021","unstructured":"Yim, D., Malefyt, T., & Khuntia, J. (2021). Is a picture worth a thousand views? Measuring the effects of travel photos on user engagement using deep learning algorithms. Electronic Markets, 31(3), 619\u2013637. https:\/\/doi.org\/10.1007\/s12525-021-00472-5","journal-title":"Electronic Markets"},{"key":"537_CR392","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/CIE.2002.1185862","volume":"2002","author":"OR Za\u00efane","year":"2002","unstructured":"Za\u00efane, O. R. (2002). Building a recommender agent for e-learning systems. Proceedings - International Conference on Computers in Education, ICCE, 2002, 55\u201359. https:\/\/doi.org\/10.1109\/CIE.2002.1185862","journal-title":"Proceedings - International Conference on Computers in Education, ICCE"},{"issue":"7","key":"537_CR393","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1016\/j.im.2014.08.003","volume":"51","author":"D Zhang","year":"2014","unstructured":"Zhang, D., Yan, Z., Jiang, H., & Kim, T. (2014). A domain-feature enhanced classification model for the detection of Chinese phishing e-Business websites. Information and Management, 51(7), 845\u2013853. https:\/\/doi.org\/10.1016\/j.im.2014.08.003","journal-title":"Information and Management"},{"issue":"4","key":"537_CR394","doi-asserted-by":"publisher","first-page":"1857","DOI":"10.1016\/j.eswa.2014.09.011","volume":"42","author":"D Zhang","year":"2015","unstructured":"Zhang, D., Xu, H., Su, Z., & Xu, Y. (2015). Chinese comments sentiment classification based on word2vec and SVMperf. Expert Systems with Applications, 42(4), 1857\u20131863. https:\/\/doi.org\/10.1016\/j.eswa.2014.09.011","journal-title":"Expert Systems with Applications"},{"key":"537_CR395","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.inffus.2017.10.006","volume":"42","author":"Q Zhang","year":"2018","unstructured":"Zhang, Q., Yang, L. T., Chen, Z., & Li, P. (2018a). A survey on deep learning for big data. Information Fusion, 42, 146\u2013157. https:\/\/doi.org\/10.1016\/j.inffus.2017.10.006","journal-title":"Information Fusion"},{"key":"537_CR396","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2020.100989","volume":"42","author":"W Zhang","year":"2020","unstructured":"Zhang, W., Wang, C., Zhang, Y., & Wang, J. (2020a). Credit risk evaluation model with textual features from loan descriptions for P2P lending. Electronic Commerce Research and Applications, 42, 100989. https:\/\/doi.org\/10.1016\/j.elerap.2020.100989","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR397","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.elerap.2018.08.001","volume":"31","author":"W Zhang","year":"2018","unstructured":"Zhang, W., Du, Y., Yang, Y., & Yoshida, T. (2018b). DeRec: A data-driven approach to accurate recommendation with deep learning and weighted loss function. Electronic Commerce Research and Applications, 31, 12\u201323. https:\/\/doi.org\/10.1016\/j.elerap.2018.08.001","journal-title":"Electronic Commerce Research and Applications"},{"key":"537_CR398","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.ins.2018.08.039","volume":"470","author":"W Zhang","year":"2019","unstructured":"Zhang, W., Du, Y., Yoshida, T., & Yang, Y. (2019a). DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function. Information Sciences, 470, 121\u2013140. https:\/\/doi.org\/10.1016\/j.ins.2018.08.039","journal-title":"Information Sciences"},{"key":"537_CR399","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.ins.2020.01.044","volume":"519","author":"X Zhang","year":"2020","unstructured":"Zhang, X., Liu, H., Chen, X., Zhong, J., & Wang, D. (2020b). A novel hybrid deep recommendation system to differentiate user\u2019s preference and item\u2019s attractiveness. Information Sciences, 519, 306\u2013316. https:\/\/doi.org\/10.1016\/j.ins.2020.01.044","journal-title":"Information Sciences"},{"key":"537_CR400","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.023","author":"X Zhang","year":"2019","unstructured":"Zhang, X., Han, Y., Xu, W., & Wang, Q. (2019b). HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture. Information Sciences. https:\/\/doi.org\/10.1016\/j.ins.2019.05.023","journal-title":"Information Sciences"},{"key":"537_CR401","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Chen, H., Lu, J., & Zhang, G. (2017). Detecting and predicting the topic change of knowledge-based systems: A topic-based bibliometric analysis from 1991 to 2016. Knowledge-Based Systems, 133, 255\u2013268. https:\/\/doi.org\/10.1016\/j.knosys.2017.07.011","DOI":"10.1016\/j.knosys.2017.07.011"},{"issue":"7","key":"537_CR402","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2021.103484","volume":"58","author":"Z Zhang","year":"2021","unstructured":"Zhang, Z., Wei, X., Zheng, X., & Zeng, D. D. (2021). Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach. Information & Management, 58(7), 103484. https:\/\/doi.org\/10.1016\/j.im.2021.103484","journal-title":"Information & Management"},{"key":"537_CR403","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105849","volume":"196","author":"G Zhao","year":"2020","unstructured":"Zhao, G., Lou, P., Qian, X., & Hou, X. (2020a). Personalized location recommendation by fusing sentimental and spatial context. Knowledge-Based Systems, 196, 105849. https:\/\/doi.org\/10.1016\/j.knosys.2020.105849","journal-title":"Knowledge-Based Systems"},{"key":"537_CR404","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.psep.2019.11.014","volume":"133","author":"L Zhao","year":"2020","unstructured":"Zhao, L., Dai, T., Qiao, Z., Sun, P., Hao, J., & Yang, Y. (2020b). Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse. Process Safety and Environmental Protection, 133, 169\u2013182. https:\/\/doi.org\/10.1016\/j.psep.2019.11.014","journal-title":"Process Safety and Environmental Protection"},{"key":"537_CR405","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1016\/j.ins.2018.11.028","volume":"478","author":"Y Zhao","year":"2019","unstructured":"Zhao, Y., Yu, Y., Li, Y., Han, G., & Du, X. (2019). Machine learning based privacy-preserving fair data trading in big data market. Information Sciences, 478, 449\u2013460. https:\/\/doi.org\/10.1016\/j.ins.2018.11.028","journal-title":"Information Sciences"},{"key":"537_CR406","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.dss.2013.06.002","volume":"56","author":"X Zheng","year":"2013","unstructured":"Zheng, X., Zhu, S., & Lin, Z. (2013). Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach. Decision Support Systems, 56, 211\u2013222. https:\/\/doi.org\/10.1016\/j.dss.2013.06.002","journal-title":"Decision Support Systems"},{"issue":"5","key":"537_CR407","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1287\/mnsc.1050.0488","volume":"52","author":"Z Zheng","year":"2006","unstructured":"Zheng, Z., & Padmanabhan, B. (2006). Selectively acquiring customer information: A new data acquisition problem and an active learning-based solution. Management Science, 52(5), 697\u2013712. https:\/\/doi.org\/10.1287\/mnsc.1050.0488","journal-title":"Management Science"},{"key":"537_CR408","doi-asserted-by":"publisher","unstructured":"Ziegler, C.-N., McNee, S. M., Konstan, J. A., & Lausen, G. (2005). Improving recommendation lists through topic diversification. Proceedings of the 14th International Conference on World Wide Web, 22. https:\/\/doi.org\/10.1145\/1060745.1060754","DOI":"10.1145\/1060745.1060754"},{"key":"537_CR409","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1016\/j.ins.2016.05.047","volume":"367\u2013368","author":"S Zoghbi","year":"2016","unstructured":"Zoghbi, S., Vuli\u0107, I., & Moens, M. F. (2016). Latent Dirichlet allocation for linking user-generated content and e-commerce data. Information Sciences, 367\u2013368, 573\u2013599. https:\/\/doi.org\/10.1016\/j.ins.2016.05.047","journal-title":"Information Sciences"}],"container-title":["Electronic Markets"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12525-022-00537-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12525-022-00537-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12525-022-00537-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T12:43:58Z","timestamp":1744116238000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12525-022-00537-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":409,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["537"],"URL":"https:\/\/doi.org\/10.1007\/s12525-022-00537-z","relation":{},"ISSN":["1019-6781","1422-8890"],"issn-type":[{"value":"1019-6781","type":"print"},{"value":"1422-8890","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]},"assertion":[{"value":"11 September 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}