{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T19:39:09Z","timestamp":1726083549474},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030474256"},{"type":"electronic","value":"9783030474263"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-47426-3_14","type":"book-chapter","created":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T06:02:49Z","timestamp":1588917769000},"page":"168-180","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Joint Relational Dependency Learning for Sequential Recommendation"],"prefix":"10.1007","author":[{"given":"Xiangmeng","family":"Wang","sequence":"first","affiliation":[]},{"given":"Qian","family":"Li","sequence":"additional","affiliation":[]},{"given":"Wu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Guandong","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Shaowu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Wenhao","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,6]]},"reference":[{"key":"14_CR1","unstructured":"Bogina, V., Kuflik, T.: Incorporating dwell time in session-based recommendations with recurrent neural networks, pp. 57\u201359 (2017)"},{"key":"14_CR2","doi-asserted-by":"publisher","unstructured":"Davidson, J., Liebald, B., Liu, J., Nandy, P., Van Vleet, T.: The YouTube video recommendation system. In: RecSys 2010 - Proceedings of the 4th ACM Conference on Recommender Systems, pp. 293\u2013296 (2010). https:\/\/doi.org\/10.1145\/1864708.1864770","DOI":"10.1145\/1864708.1864770"},{"key":"14_CR3","doi-asserted-by":"publisher","unstructured":"He, R., Kang, W.C., McAuley, J.: Translation-based recommendation. In: RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems, pp. 161\u2013169. Association for Computing Machinery, Inc., August 2017. https:\/\/doi.org\/10.1145\/3109859.3109882","DOI":"10.1145\/3109859.3109882"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"He, R., Kang, W.C., Mcauley, J.: Translation-based recommendation. In: Eleventh ACM Conference on Recommender Systems (2017)","DOI":"10.1145\/3109859.3109882"},{"issue":"8","key":"14_CR5","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997). https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735","journal-title":"Neural Comput."},{"key":"14_CR6","unstructured":"Hsu, K., Chou, S., Yang, Y., Chi, T.: Neural network based next-song recommendation. arXiv: Information Retrieval (2016)"},{"key":"14_CR7","unstructured":"Krause, B., Lu, L., Murray, I., Renals, S.: Multiplicative LSTM for sequence modelling. arXiv preprint arXiv:1609.07959 (2016)"},{"key":"14_CR8","unstructured":"Li, Q., Niu, W., Li, G., Cao, Y., Tan, J., Guo, L.: Lingo: linearized grassmannian optimization for nuclear norm minimization (2015)"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Li, Q., Wang, Z.: Riemannian submanifold tracking on low-rank algebraic variety. In: Thirty-First AAAI Conference on Artificial Intelligence (2017)","DOI":"10.1609\/aaai.v31i1.10816"},{"key":"14_CR10","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. arXiv: Computation and Language (2013)"},{"issue":"3","key":"14_CR11","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/0304-4076(88)90048-6","volume":"38","author":"WK Newey","year":"1988","unstructured":"Newey, W.K.: Adaptive estimation of regression models via moment restrictions. J. Econ. 38(3), 301\u2013339 (1988)","journal-title":"J. Econ."},{"key":"14_CR12","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: BPR: Bayesian personalized ranking from implicit Feedback, May 2012. http:\/\/arxiv.org\/abs\/1205.2618"},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"Rendle, S., Freudenthaler, C., Schmidtthieme, L.: Factorizing personalized Markov chains for next-basket recommendation. In: The Web Conference, pp. 811\u2013820 (2010)","DOI":"10.1145\/1772690.1772773"},{"key":"14_CR14","doi-asserted-by":"publisher","unstructured":"Rendle, S., Gantner, Z., Freudenthaler, C., Schmidt-Thieme, L.: Fast context-aware recommendations with factorization machines. In: SIGIR 2011 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 635\u2013644. Association for Computing Machinery (2011). https:\/\/doi.org\/10.1145\/2009916.2010002","DOI":"10.1145\/2009916.2010002"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Tang, J., Wang, K.: Personalized top-n sequential recommendation via convolutional sequence embedding, pp. 565\u2013573 (2018)","DOI":"10.1145\/3159652.3159656"},{"key":"14_CR16","unstructured":"Wan, S., Lan, Y., Wang, P., Guo, J., Xu, J., Cheng, X.: Next basket recommendation with neural networks (2015)"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Wang, P., Guo, J., Lan, Y., Xu, J., Wan, S., Cheng, X.: Learning hierarchical representation model for nextbasket recommendation, pp. 403\u2013412 (2015)","DOI":"10.1145\/2766462.2767694"},{"key":"14_CR18","doi-asserted-by":"publisher","unstructured":"Wang, Z., Zhang, Y., Chang, C.Y.: Integrating order information and event relation for script event prediction, pp. 57\u201367. Association for Computational Linguistics (ACL), January 2018. https:\/\/doi.org\/10.18653\/v1\/d17-1006","DOI":"10.18653\/v1\/d17-1006"},{"key":"14_CR19","doi-asserted-by":"publisher","unstructured":"Yu, L., Zhang, C., Liang, S., Zhang, X.: Multi-order attentive ranking model for sequential recommendation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 5709\u20135716, July 2019. https:\/\/doi.org\/10.1609\/aaai.v33i01.33015709","DOI":"10.1609\/aaai.v33i01.33015709"},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Zhao, P., Zhu, H., Liu, Y., Li, Z., Xu, J., Sheng, V.S.: Where to go next: A Spatio-temporal LSTM model for next poi recommendation. arXiv: Information Retrieval (2018)","DOI":"10.1609\/aaai.v33i01.33015877"},{"key":"14_CR21","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.ins.2018.02.053","volume":"444","author":"Y Zhou","year":"2018","unstructured":"Zhou, Y., Huang, C., Hu, Q., Zhu, J., Tang, Y.: Personalized learning full-path recommendation model based on LSTM neural networks. Inf. Sci. 444, 135\u2013152 (2018)","journal-title":"Inf. Sci."}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-47426-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,23]],"date-time":"2022-10-23T08:34:56Z","timestamp":1666514096000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-47426-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030474256","9783030474263"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-47426-3_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"6 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 May 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pakdd2020.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT System","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"628","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":"135","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":"0","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":"21% - 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":"3-4","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":"6-8","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}