{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T14:26:15Z","timestamp":1726064775487},"publisher-location":"Cham","reference-count":44,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030353292"},{"type":"electronic","value":"9783030353308"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-35330-8_4","type":"book-chapter","created":{"date-parts":[[2020,1,16]],"date-time":"2020-01-16T07:12:28Z","timestamp":1579158748000},"page":"56-77","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Personalization and the Conversational Web"],"prefix":"10.1007","author":[{"given":"Konstantinos N.","family":"Vavliakis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Th.","family":"Kotouza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas L.","family":"Symeonidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pericles A.","family":"Mitkas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,17]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","unstructured":"Agichtein, E., Brill, E., Dumais, S.: Improving web search ranking by incorporating user behavior information. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2006, pp. 19\u201326. ACM, New York, NY, USA (2006). \nhttps:\/\/doi.org\/10.1145\/1148170.1148177","DOI":"10.1145\/1148170.1148177"},{"key":"4_CR2","doi-asserted-by":"publisher","unstructured":"Ben-Shimon, D., Tsikinovsky, A., Friedmann, M., Shapira, B., Rokach, L., Hoerle, J.: RecSys challenge 2015 and the YOOCHOOSE dataset. In: Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 357\u2013358. ACM, New York, NY, USA (2015). \nhttps:\/\/doi.org\/10.1145\/2792838.2798723","DOI":"10.1145\/2792838.2798723"},{"key":"4_CR3","doi-asserted-by":"publisher","unstructured":"Bennett, P.N., et al.: Modeling the impact of short- and long-term behavior on search personalization. In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012. pp. 185\u2013194. ACM, New York, NY, USA (2012). \nhttps:\/\/doi.org\/10.1145\/2348283.2348312","DOI":"10.1145\/2348283.2348312"},{"key":"4_CR4","doi-asserted-by":"publisher","DOI":"10.5772\/13683","volume-title":"Knowledge-Oriented Applications in Data Mining","author":"Derya Birant","year":"2011","unstructured":"Birant, D.: Data mining using RFM analysis. In: Knowledge-Oriented Applications in Data Mining, chap. 6. Funatsu, Kimito, Rijeka (2011). \nhttps:\/\/doi.org\/10.5772\/13683"},{"key":"4_CR5","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003). \nhttp:\/\/dl.acm.org\/citation.cfm?id=944919.944937","journal-title":"J. Mach. Learn. Res."},{"key":"4_CR6","doi-asserted-by":"publisher","unstructured":"Burges, C., et al.: Learning to rank using gradient descent. In: Proceedings of the 22nd International Conference on Machine Learning, ICML 2005, pp. 89\u201396. ACM, New York, NY, USA (2005). \nhttps:\/\/doi.org\/10.1145\/1102351.1102363","DOI":"10.1145\/1102351.1102363"},{"issue":"4","key":"4_CR7","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R Burke","year":"2002","unstructured":"Burke, R.: Hybrid recommender systems: survey and experiments. User Modeling User-Adap. Inter. 12(4), 331\u2013370 (2002). \nhttps:\/\/doi.org\/10.1023\/A:1021240730564","journal-title":"User Modeling User-Adap. Inter."},{"issue":"1","key":"4_CR8","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s11257-011-9108-6","volume":"22","author":"L Chen","year":"2012","unstructured":"Chen, L., Pu, P.: Critiquing-based recommenders: survey and emerging trends. User Modeling User-Adap. Inter. 22(1), 125\u2013150 (2012). \nhttps:\/\/doi.org\/10.1007\/s11257-011-9108-6","journal-title":"User Modeling User-Adap. Inter."},{"key":"4_CR9","doi-asserted-by":"publisher","unstructured":"Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2016, pp. 785\u2013794. ACM, New York, NY, USA (2016). \nhttps:\/\/doi.org\/10.1145\/2939672.2939785","DOI":"10.1145\/2939672.2939785"},{"issue":"5","key":"4_CR10","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.elerap.2009.03.002","volume":"8","author":"YL Chen","year":"2009","unstructured":"Chen, Y.L., Kuo, M.H., Wu, S.Y., Tang, K.: Discovering recency, frequency, and monetary (RFM) sequential patterns from customers\u2019 purchasing data. Electron. Commer. Res. Appl. 8(5), 241\u2013251 (2009). \nhttps:\/\/doi.org\/10.1016\/j.elerap.2009.03.002\n\n. Special Issue: Marketing and Electronic Commerce","journal-title":"Electron. Commer. Res. Appl."},{"key":"4_CR11","unstructured":"CIKM Cup organizing committee: Cikm cup 2016 track 2: Personalized e-commerce search challenge (2016). \nhttps:\/\/competitions.codalab.org\/competitions\/11161#learnthedetails-data2\n\n. Accessed 15 Jan 2019"},{"key":"4_CR12","doi-asserted-by":"publisher","unstructured":"Davis, J., Goadrich, M.: The relationship between precision-recall and ROC curves. In: Proceedings of the 23rd International Conference on Machine Learning, ICML 2006, pp. 233\u2013240. ACM, New York, NY, USA (2006).\nhttps:\/\/doi.org\/10.1145\/1143844.1143874","DOI":"10.1145\/1143844.1143874"},{"issue":"4","key":"4_CR13","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1509\/jmkr.2005.42.4.415","volume":"42","author":"PS Fader","year":"2005","unstructured":"Fader, P.S., Hardie, B.G., Lee, K.L.: RFM and CLV: using iso-value curves for customer base analysis. J. Mark. Res. 42(4), 415\u2013430 (2005). \nhttps:\/\/doi.org\/10.1509\/jmkr.2005.42.4.415","journal-title":"J. Mark. Res."},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-0-387-85820-3_6","volume-title":"Recommender Systems Handbook","author":"A Felfernig","year":"2011","unstructured":"Felfernig, A., Friedrich, G., Jannach, D., Zanker, M.: Developing constraint-based recommenders. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 187\u2013215. Springer, Boston, MA (2011). \nhttps:\/\/doi.org\/10.1007\/978-0-387-85820-3_6"},{"issue":"5","key":"4_CR15","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1007\/s11280-015-0367-8","volume":"19","author":"A Gellert","year":"2016","unstructured":"Gellert, A., Florea, A.: Web prefetching through efficient prediction by partial matching. World Wide Web 19(5), 921\u2013932 (2016). \nhttps:\/\/doi.org\/10.1007\/s11280-015-0367-8","journal-title":"World Wide Web"},{"key":"4_CR16","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)"},{"key":"4_CR17","volume-title":"Elasticsearch: The Definitive Guide","author":"C Gormley","year":"2015","unstructured":"Gormley, C., Tong, Z.: Elasticsearch: The Definitive Guide, 1st edn. O\u2019Reilly Media Inc., Sebastopol (2015)","edition":"1"},{"key":"4_CR18","unstructured":"Hidasi, B., Karatzoglou, A., Baltrunas, L., Tikk, D.: Session-based recommendations with recurrent neural networks. CoRR abs\/1511.06939 (2015). \nhttp:\/\/arxiv.org\/abs\/1511.06939"},{"issue":"4","key":"4_CR19","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.elerap.2010.11.003","volume":"10","author":"SL Huang","year":"2011","unstructured":"Huang, S.L.: Designing utility-based recommender systems for e-commerce: evaluation of preference-elicitation methods. Electron. Commer. Rec. Appl. 10(4), 398\u2013407 (2011). \nhttps:\/\/doi.org\/10.1016\/j.elerap.2010.11.003","journal-title":"Electron. Commer. Rec. Appl."},{"key":"4_CR20","unstructured":"Jannach, D., Ludewig, M.: Investigating personalized search in e-commerce. In: FLAIRS Conference, pp. 645\u2013650. AAAI Press (2017)"},{"key":"4_CR21","doi-asserted-by":"publisher","unstructured":"Joachims, T.: Optimizing search engines using clickthrough data. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2002, pp. 133\u2013142. ACM, New York, NY, USA (2002). \nhttps:\/\/doi.org\/10.1145\/775047.775067","DOI":"10.1145\/775047.775067"},{"key":"4_CR22","unstructured":"Saleh, K.: Online shopping personalization - statistics and trends (2018). \nhttps:\/\/www.invespcro.com\/blog\/online-shopping-personalization\/\n\n. Accessed 15 Jan 2019"},{"key":"4_CR23","unstructured":"Kong, D.: Personalized feature based re-ranking method for ecommerce search at cikm cup 2016. Technical report, CIKM Cup (2016)"},{"issue":"8","key":"4_CR24","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.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009). \nhttps:\/\/doi.org\/10.1109\/MC.2009.263","journal-title":"Computer"},{"key":"4_CR25","doi-asserted-by":"publisher","unstructured":"Liu, S., Xiao, F., Ou, W., Si, L.: Cascade ranking for operational e-commerce search. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017, pp. 1557\u20131565. ACM, New York, NY, USA (2017). \nhttps:\/\/doi.org\/10.1145\/3097983.3098011","DOI":"10.1145\/3097983.3098011"},{"key":"4_CR26","unstructured":"Mahmood, T., Ricci, F.: Improving recommender systems with adaptive conversational strategies. In: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT 2009, pp. 73\u201382. ACM, New York, NY, USA (2009). \nhttps:\/\/doi.acm.org\/10.1145\/1557914.1557930"},{"key":"4_CR27","volume-title":"Lucene in Action, Second Edition: Covers Apache Lucene 3.0","author":"M McCandless","year":"2010","unstructured":"McCandless, M., Hatcher, E., Gospodnetic, O.: Lucene in Action, Second Edition: Covers Apache Lucene 3.0. Manning Publications Co., Greenwich (2010)"},{"key":"4_CR28","unstructured":"Palotti, J.: Learning to rank for personalized e-commerce search at CIKM cup 2016. Technical report CIKM Cup (2016)"},{"key":"4_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/978-3-540-72079-9_10","volume-title":"The Adaptive Web","author":"MJ Pazzani","year":"2007","unstructured":"Pazzani, M.J., Billsus, D.: Content-based recommendation systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, pp. 325\u2013341. Springer, Heidelberg (2007). \nhttps:\/\/doi.org\/10.1007\/978-3-540-72079-9_10"},{"key":"4_CR30","unstructured":"Quadrana, M., Karatzoglou, A., Hidasi, B., Cremonesi, P.: Personalizing session-based recommendations with hierarchical recurrent neural networks. In: Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, 27\u201331 August 2017, pp. 130\u2013137 (2017). \nhttps:\/\/doi.acm.org\/10.1145\/3109859.3109896"},{"issue":"4","key":"4_CR31","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1561\/1500000019","volume":"3","author":"S Robertson","year":"2009","unstructured":"Robertson, S., Zaragoza, H.: The probabilistic relevance framework: BM25 and beyond. Found. Trends Inf. Retr. 3(4), 333\u2013389 (2009). \nhttps:\/\/doi.org\/10.1561\/1500000019","journal-title":"Found. Trends Inf. Retr."},{"key":"4_CR32","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1007\/978-0-387-85820-3_23","volume-title":"Recommender Systems Handbook","author":"N Rubens","year":"2011","unstructured":"Rubens, N., Kaplan, D., Sugiyama, M.: Active learning in recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P. (eds.) Recommender Systems Handbook, pp. 735\u2013767. Springer, Boston (2011). \nhttps:\/\/doi.org\/10.1007\/978-0-387-85820-3_23"},{"key":"4_CR33","unstructured":"Salimans, T., Paquet, U., Graepel, T.: Collaborative learning of preference rankings. In: Proceedings of the Sixth ACM Conference on Recommender Systems, RecSys 2012, pp. 261\u2013264. ACM, New York, NY, USA (2012). \nhttps:\/\/doi.acm.org\/10.1145\/2365952.2366009"},{"key":"4_CR34","doi-asserted-by":"publisher","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web, WWW 2001, pp. 285\u2013295. ACM, New York, NY, USA (2001). \nhttps:\/\/doi.org\/10.1145\/371920.372071","DOI":"10.1145\/371920.372071"},{"key":"4_CR35","doi-asserted-by":"publisher","unstructured":"Speretta, M., Gauch, S.: Personalized search based on user search histories. In: The 2005 IEEE\/WIC\/ACM International Conference on Web Intelligence (WI 2005), pp. 622\u2013628, September 2005. \nhttps:\/\/doi.org\/10.1109\/WI.2005.114","DOI":"10.1109\/WI.2005.114"},{"key":"4_CR36","unstructured":"Sun, A., Lim, E.P., Ng, W.K.: Web classification using support vector machine. In: Proceedings of the 4th International Workshop on Web Information and Data Management, WIDM 2002, pp. 96\u201399. ACM, New York, NY, USA (2002). \nhttps:\/\/doi.acm.org\/10.1145\/584931.584952"},{"key":"4_CR37","doi-asserted-by":"publisher","unstructured":"Teevan, J., Dumais, S.T., Liebling, D.J.: To personalize or not to personalize: Modeling queries with variation in user intent. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, pp. 163\u2013170. ACM, New York, NY, USA (2008). \nhttps:\/\/doi.org\/10.1145\/1390334.1390364","DOI":"10.1145\/1390334.1390364"},{"key":"4_CR38","doi-asserted-by":"publisher","unstructured":"Vavliakis, K.N., Kotouza, M.T., Symeonidis, A.L., Mitkas, P.A.: Recommendation systems in a conversational web. In: Proceedings of the 14th International Conference on Web Information Systems and Technologies, WEBIST 2018, Seville, Spain, 18\u201320 September 2018, pp. 68\u201377 (2018). \nhttps:\/\/doi.org\/10.5220\/0006935300680077","DOI":"10.5220\/0006935300680077"},{"key":"4_CR39","unstructured":"Wang, Y., Wang, L., Li, Y., He, D., Liu, T.Y., Chen, W.: A theoretical analysis of NDCG type ranking measures. CoRR abs\/1304.6480 (2013)"},{"issue":"490","key":"4_CR40","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1198\/jasa.2010.tm09415","volume":"105","author":"DM Witten","year":"2010","unstructured":"Witten, D.M., Tibshirani, R.: A framework for feature selection in clustering. J. Am. Stat. Assoc. 105(490), 713\u2013726 (2010)","journal-title":"J. Am. Stat. Assoc."},{"issue":"3","key":"4_CR41","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1509\/jmkr.43.3.355","volume":"43","author":"Y Ying","year":"2006","unstructured":"Ying, Y., Feinberg, F., Wedel, M.: Leveraging missing ratings to improve online recommendation systems. J. Mark. Res. 43(3), 355\u2013365 (2006). \nhttp:\/\/www.jstor.org\/stable\/30162410","journal-title":"J. Mark. Res."},{"key":"4_CR42","doi-asserted-by":"publisher","unstructured":"Yu, J., Mohan, S., Putthividhya, D.P., Wong, W.K.: Latent Dirichlet allocation based diversified retrieval for e-commerce search. In: Proceedings of the 7th ACM International Conference on Web Search and Data Mining, WSDM 2014, pp. 463\u2013472. ACM, New York, NY, USA (2014). \nhttps:\/\/doi.org\/10.1145\/2556195.2556215","DOI":"10.1145\/2556195.2556215"},{"key":"4_CR43","unstructured":"Zhang, S., Yao, L., Sun, A.: Deep learning based recommender system: a survey and new perspectives. CoRR abs\/1707.07435 (2017)"},{"key":"4_CR44","unstructured":"Zhao, X., Zhang, W., Wang, J.: Interactive collaborative filtering. In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, CIKM 2013, pp. 1411\u20131420. ACM, New York, NY, USA (2013). \nhttps:\/\/doi.acm.org\/10.1145\/2505515.2505690"}],"container-title":["Lecture Notes in Business Information Processing","Web Information Systems and Technologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-35330-8_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,16]],"date-time":"2020-01-16T07:16:30Z","timestamp":1579158990000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-35330-8_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030353292","9783030353308"],"references-count":44,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-35330-8_4","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"17 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WEBIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems and Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"webist2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.webist.org\/?y=2018","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}