{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:43:08Z","timestamp":1743014588830,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030035198"},{"type":"electronic","value":"9783030035204"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-03520-4_8","type":"book-chapter","created":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T18:01:01Z","timestamp":1542391261000},"page":"77-89","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Neural Labeled Network Embedding Approach to Product Adopter Prediction"],"prefix":"10.1007","author":[{"given":"Qi","family":"Gu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wayne Xin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji-Rong","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,17]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Bai, T., Wen, J.R., Zhang, J., Zhao, W.X.: A neural collaborative filtering model with interaction-based neighborhood. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1979\u20131982. ACM (2017)","DOI":"10.1145\/3132847.3133083"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Chen, J., Zhang, H., He, X., Nie, L., Liu, W., Chua, T.S.: Attentive collaborative filtering: multimedia recommendation with item-and component-level attention. In: Proceedings of the 40th International ACM Special Interest Group on Information Retrieval Conference on Research and Development in Information Retrieval, pp. 335\u2013344. ACM (2017)","DOI":"10.1145\/3077136.3080797"},{"key":"8_CR3","unstructured":"Ganu, G., Elhadad, N., Marian, A.: Beyond the stars: improving rating predictions using review text content. In: International Workshop on the Web and Databases, vol. 9, pp. 1\u20136. Citeseer (2009)"},{"issue":"14\u201315","key":"8_CR4","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1016\/S1352-2310(97)00447-0","volume":"32","author":"MW Gardner","year":"1998","unstructured":"Gardner, M.W., Dorling, S.: Artificial neural networks (the multilayer perceptron)-a review of applications in the atmospheric sciences. Atmos. Environ. 32(14\u201315), 2627\u20132636 (1998)","journal-title":"Atmos. Environ."},{"key":"8_CR5","unstructured":"Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. In: Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, pp. 315\u2013323 (2011)"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: scalable feature learning for networks. In: Proceedings of the 22nd ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference on Knowledge Discovery and Data Mining, pp. 855\u2013864. ACM (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"He, R., McAuley, J.: Ups and downs: modeling the visual evolution of fashion trends with one-class collaborative filtering. In: Proceedings of the 25th International Conference on World Wide Web, pp. 507\u2013517 (2016)","DOI":"10.1145\/2872427.2883037"},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"8","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 8, 30\u201337 (2009)","journal-title":"Computer"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Li, J., Ren, P., Chen, Z., Ren, Z., Lian, T., Ma, J.: Neural attentive session-based recommendation. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp. 1419\u20131428. ACM (2017)","DOI":"10.1145\/3132847.3132926"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Liu, Y., Huang, X., An, A., Yu, X.: ARSA: a sentiment-aware model for predicting sales performance using blogs. In: Proceedings of the 30th Annual International ACM Special Interest Group on Information Retrieval Conference on Research and Development in Information Retrieval, pp. 607\u2013614. ACM (2007)","DOI":"10.1145\/1277741.1277845"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"McGlohon, M., Glance, N.S., Reiter, Z.: Star quality: aggregating reviews to rank products and merchants. In: International Association for the Advance of Artificial Intelligence Conference on Web and Social Media (2010)","DOI":"10.1609\/icwsm.v4i1.14019"},{"key":"8_CR12","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"issue":"1\u20132","key":"8_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B Pang","year":"2008","unstructured":"Pang, B., Lee, L., et al.: Opinion mining and sentiment analysis. Found. Trends \u00ae Inf. Retr. 2(1\u20132), 1\u2013135 (2008)","journal-title":"Found. Trends \u00ae Inf. Retr."},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: online learning of social representations. In: Proceedings of the 20th ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710. ACM (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Ren, Z., He, X., Yin, D., de Rijke, M.: Information discovery in e-commerce (2018)","DOI":"10.1145\/3209978.3210185"},{"issue":"3","key":"8_CR16","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1145\/2168752.2168771","volume":"3","author":"S Rendle","year":"2012","unstructured":"Rendle, S.: Factorization machines with libfm. ACM Trans. Intell. Syst. Technol. 3(3), 57 (2012)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Mei, Q.: PTE: predictive text embedding through large-scale heterogeneous text networks. In: Proceedings of the 21th ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference on Knowledge Discovery and Data Mining, pp. 1165\u20131174. ACM (2015)","DOI":"10.1145\/2783258.2783307"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q.: Line: large-scale information network embedding. In: Proceedings of the 24th International Conference on World Wide Web, pp. 1067\u20131077 (2015)","DOI":"10.1145\/2736277.2741093"},{"key":"8_CR19","unstructured":"Tu, C., Zhang, W., Liu, Z., Sun, M., et al.: Max-margin deepwalk: discriminative learning of network representation. In: International Joint Conference on Artificial Intelligence, pp. 3889\u20133895 (2016)"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Wang, J., Zhao, W.X., He, Y., Li, X.: Leveraging product adopter information from online reviews for product recommendation. In: International Association for the Advance of Artificial Intelligence Conference on Web and Social Media, pp. 464\u2013472 (2015)","DOI":"10.1609\/icwsm.v9i1.14585"},{"key":"8_CR21","unstructured":"Yang, C., Liu, Z., Zhao, D., Sun, M., Chang, E.Y.: Network representation learning with rich text information. In: International Joint Conference on Artificial Intelligence, pp. 2111\u20132117 (2015)"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Lai, G., Zhang, M., Zhang, Y., Liu, Y., Ma, S.: Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. In: Proceedings of the 37th International ACM Special Interest Group on Information Retrieval Conference on Research and Development in Information Retrieval, pp. 83\u201392. ACM (2014)","DOI":"10.1145\/2600428.2609579"},{"issue":"3","key":"8_CR23","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1145\/2842629","volume":"10","author":"WX Zhao","year":"2016","unstructured":"Zhao, W.X., Wang, J., He, Y., Wen, J.R., Chang, E.Y., Li, X.: Mining product adopter information from online reviews for improving product recommendation. ACM Trans. Knowl. Discov. Data 10(3), 29 (2016)","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Zhao, X.W., Guo, Y., He, Y., Jiang, H., Wu, Y., Li, X.: We know what you want to buy: a demographic-based system for product recommendation on microblogs. In: Proceedings of the 20th ACM Special Interest Group on Knowledge Discovery and Data Mining International Conference on Knowledge Discovery and Data Mining, pp. 1935\u20131944. ACM (2014)","DOI":"10.1145\/2623330.2623351"}],"container-title":["Lecture Notes in Computer Science","Information Retrieval Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03520-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T15:15:45Z","timestamp":1709824545000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-03520-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030035198","9783030035204"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03520-4_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"17 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIRS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia Information Retrieval Symposium","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","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":"28 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 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":"airs2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/airs2018.org\/site\/page.aspx?pid=901&sid=1221&lang=en","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"9","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1,982","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3 other papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}