{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:38:50Z","timestamp":1776886730720,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,7,9]],"date-time":"2017-07-09T00:00:00Z","timestamp":1499558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Fonds pour la Recherche dans l'Industrie et l'Agriculture","award":["FRIA 1.E041.14"],"award-info":[{"award-number":["FRIA 1.E041.14"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,7,9]]},"DOI":"10.1145\/3079628.3079670","type":"proceedings-article","created":{"date-parts":[[2017,7,7]],"date-time":"2017-07-07T12:18:28Z","timestamp":1499429908000},"page":"13-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":103,"title":["Long and Short-Term Recommendations with Recurrent Neural Networks"],"prefix":"10.1145","author":[{"given":"Robin","family":"Devooght","sequence":"first","affiliation":[{"name":"Universit\u00e9 Libre de Bruxelles, Bruxelles, Belgium"}]},{"given":"Hugues","family":"Bersini","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Libre de Bruxelles, Bruxelles, Belgium"}]}],"member":"320","published-online":{"date-parts":[[2017,7,9]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Recurrent neural networks for collaborative filtering","author":"Bernhardsson E.","year":"2014","unstructured":"E. Bernhardsson . Recurrent neural networks for collaborative filtering , 2014 . {Online; accessed 20-Mai-2016}. E. Bernhardsson. Recurrent neural networks for collaborative filtering, 2014. {Online; accessed 20-Mai-2016}."},{"key":"e_1_3_2_1_2_1","first-page":"164","volume-title":"ICAPS","author":"Brafman R. I.","year":"2003","unstructured":"R. I. Brafman , D. Heckerman , and G. Shani . Recommendation as a stochastic sequential decision problem . In ICAPS , pages 164 -- 173 , 2003 . R. I. Brafman, D. Heckerman, and G. Shani. Recommendation as a stochastic sequential decision problem. In ICAPS, pages 164--173, 2003."},{"key":"e_1_3_2_1_3_1","volume-title":"On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259","author":"Cho K.","year":"2014","unstructured":"K. Cho , B. Van Merri\u00ebnboer , D. Bahdanau , and Y. Bengio . On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259 , 2014 . K. Cho, B. Van Merri\u00ebnboer, D. Bahdanau, and Y. Bengio. On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259, 2014."},{"key":"e_1_3_2_1_4_1","volume-title":"Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12(Jul):2121--2159","author":"Duchi J.","year":"2011","unstructured":"J. Duchi , E. Hazan , and Y. Singer . Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12(Jul):2121--2159 , 2011 . J. Duchi, E. Hazan, and Y. Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 12(Jul):2121--2159, 2011."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043989"},{"key":"e_1_3_2_1_6_1","volume-title":"Deep Learning","author":"Goodfellow I.","year":"2016","unstructured":"I. Goodfellow , Y. Bengio , and A. Courville . Deep Learning . The MIT Press , 2016 . http:\/\/www.deeplearningbook.org. I. Goodfellow, Y. Bengio, and A. Courville. Deep Learning. The MIT Press, 2016. http:\/\/www.deeplearningbook.org."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2799676"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0030"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of ICLR\u201916","author":"Hidasi B.","year":"2016","unstructured":"B. Hidasi , A. Karatzoglou , L. Baltrunas , and D. Tikk . Session-based recommendations with recurrent neural networks . In Proceedings of ICLR\u201916 , 2016 . B. Hidasi, A. Karatzoglou, L. Baltrunas, and D. Tikk. Session-based recommendations with recurrent neural networks. In Proceedings of ICLR\u201916, 2016."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487589"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1721654.1721677"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2010-343"},{"key":"e_1_3_2_1_14_1","first-page":"3111","volume-title":"Advances in Neural Information Processing Systems (NIPS)","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , I. Sutskever , K. Chen , G. S. Corrado , and J. Dean . Distributed representations of words and phrases and their compositionality . In Advances in Neural Information Processing Systems (NIPS) , pages 3111 -- 3119 , 2013 . T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems (NIPS), pages 3111--3119, 2013."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/844380.844798"},{"key":"e_1_3_2_1_16_1","first-page":"452","volume-title":"Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence","author":"Rendle S.","year":"2009","unstructured":"S. Rendle , C. Freudenthaler , Z. Gantner , and L. Schmidt-Thieme . Bpr: Bayesian personalized ranking from implicit feedback . In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence , pages 452 -- 461 . AUAI Press , 2009 . S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt-Thieme. Bpr: Bayesian personalized ranking from implicit feedback. In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence, pages 452--461. AUAI Press, 2009."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5555\/2073876.2073930"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/2074022.2074093"}],"event":{"name":"UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization","location":"Bratislava Slovakia","acronym":"UMAP '17","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3079628.3079670","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3079628.3079670","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:03:41Z","timestamp":1750215821000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3079628.3079670"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,9]]},"references-count":21,"alternative-id":["10.1145\/3079628.3079670","10.1145\/3079628"],"URL":"https:\/\/doi.org\/10.1145\/3079628.3079670","relation":{},"subject":[],"published":{"date-parts":[[2017,7,9]]},"assertion":[{"value":"2017-07-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}