{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T02:33:31Z","timestamp":1784169211688,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T00:00:00Z","timestamp":1600732800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,22]]},"DOI":"10.1145\/3383313.3412248","type":"proceedings-article","created":{"date-parts":[[2020,9,19]],"date-time":"2020-09-19T02:28:21Z","timestamp":1600482501000},"page":"53-62","source":"Crossref","is-referenced-by-count":107,"title":["Contextual and Sequential User Embeddings for Large-Scale Music Recommendation"],"prefix":"10.1145","author":[{"given":"Casper","family":"Hansen","sequence":"first","affiliation":[{"name":"University of Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Hansen","sequence":"additional","affiliation":[{"name":"University of Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucas","family":"Maystre","sequence":"additional","affiliation":[{"name":"Spotify Research, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rishabh","family":"Mehrotra","sequence":"additional","affiliation":[{"name":"Spotify Research, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Brost","sequence":"additional","affiliation":[{"name":"Spotify Research, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federico","family":"Tomasi","sequence":"additional","affiliation":[{"name":"Spotify Research, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mounia","family":"Lalmas","sequence":"additional","affiliation":[{"name":"Spotify, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"international conference on World wide web. ACM, 419\u2013430","author":"Anderson A."},{"key":"e_1_3_2_1_2_1","volume-title":"Conference on Recommender systems. ACM, 257\u2013264","author":"Bachrach Y."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159727"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2652481"},{"key":"e_1_3_2_1_5_1","volume-title":"The Music Streaming Sessions Dataset. In The World Wide Web Conference. ACM, 2594\u20132600","author":"Brost B."},{"key":"e_1_3_2_1_6_1","volume-title":"Conference on Recommender systems. ACM, 349\u2013352","author":"Cebri\u00e1n T."},{"key":"e_1_3_2_1_7_1","volume-title":"Conference on Artificial Intelligence.","author":"Chen J."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. 714\u2013722","author":"Chen S."},{"key":"e_1_3_2_1_9_1","unstructured":"H. Dai Y. Wang R. Trivedi and L. Song. 2016. Deep coevolutionary network: Embedding user and item features for recommendation. arXiv preprint arXiv:1609.03675(2016).  H. Dai Y. Wang R. Trivedi and L. Song. 2016. Deep coevolutionary network: Embedding user and item features for recommendation. arXiv preprint arXiv:1609.03675(2016)."},{"key":"e_1_3_2_1_10_1","volume-title":"Interdisciplinary Reviews: DataMining and Knowledge Discovery","author":"Frolov E.","year":"2017"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. 735\u2013744","author":"Hansen C."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 971\u2013980","author":"Hansen C."},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2009\u20132012","author":"Hansen C."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the sixth ACM conference on Recommender systems. 131\u2013138","author":"Hariri N."},{"key":"e_1_3_2_1_15_1","unstructured":"B. Hidasi A. Karatzoglou L. Baltrunas and D. Tikk. 2016. Session-based recommendations with recurrent neural networks. (2016).  B. Hidasi A. Karatzoglou L. Baltrunas and D. Tikk. 2016. Session-based recommendations with recurrent neural networks. (2016)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"S. Hochreiter and J. Schmidhuber. 1997. Long short-term memory. Neural computation 9 8 (1997) 1735\u20131780.  S. Hochreiter and J. Schmidhuber. 1997. Long short-term memory. Neural computation 9 8 (1997) 1735\u20131780.","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_17_1","volume-title":"Conference on Recommender systems. ACM, 17\u201324","author":"Kaminskas M."},{"key":"e_1_3_2_1_18_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma P.","year":"2014"},{"key":"e_1_3_2_1_19_1","unstructured":"Y.\u00a0J. Ko L. Maystre and M. Grossglauser. 2016. Collaborative Recurrent Neural Networks for Dynamic Recommender Systems. In ACML Vol.\u00a063.  Y.\u00a0J. Ko L. Maystre and M. Grossglauser. 2016. Collaborative Recurrent Neural Networks for Dynamic Recommender Systems. In ACML Vol.\u00a063."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_21_1","volume-title":"International Conference on Knowledge Discovery & Data Mining. ACM, 1269\u20131278","author":"Kumar S."},{"key":"e_1_3_2_1_22_1","volume-title":"International Conference on Information and Knowledge Management. ACM, 2243\u20132251","author":"Mehrotra R."},{"key":"e_1_3_2_1_23_1","unstructured":"T. Mikolov K. Chen G. Corrado and J. Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781(2013).  T. Mikolov K. Chen G. Corrado and J. Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781(2013)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-018-0508-z"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"M.\u00a0J. Pazzani and D. Billsus. 2007. Content-based recommendation systems. In The adaptive web. Springer 325\u2013341.  M.\u00a0J. Pazzani and D. Billsus. 2007. Content-based recommendation systems. In The adaptive web. Springer 325\u2013341.","DOI":"10.1007\/978-3-540-72079-9_10"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12144-010-9092-8"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3190616"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2019.01.001"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014806"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"M. Schedl H. Zamani C.-W. Chen Y. Deldjoo and M. Elahi. 2018. Current challenges and visions in music recommender systems research. Journal of Multimedia Information Retrieval(2018) 95\u2013116.  M. Schedl H. Zamani C.-W. Chen Y. Deldjoo and M. Elahi. 2018. Current challenges and visions in music recommender systems research. Journal of Multimedia Information Retrieval(2018) 95\u2013116.","DOI":"10.1007\/s13735-018-0154-2"},{"key":"e_1_3_2_1_31_1","unstructured":"G. Shani D. Heckerman and R.\u00a0I. Brafman. 2005. An MDP-based recommender system. Journal of Machine Learning Research(2005) 1265\u20131295.  G. Shani D. Heckerman and R.\u00a0I. Brafman. 2005. An MDP-based recommender system. Journal of Machine Learning Research(2005) 1265\u20131295."},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2041\u20132050","author":"Shen D."},{"key":"e_1_3_2_1_33_1","unstructured":"A. Vall M. Quadrana M. Schedl G. Widmer and P. Cremonesi. 2017. The Importance of Song Context in Music Playlists.. In RecSys Posters.  A. Vall M. Quadrana M. Schedl G. Widmer and P. Cremonesi. 2017. The Importance of Song Context in Music Playlists.. In RecSys Posters."},{"key":"e_1_3_2_1_34_1","unstructured":"S. Wang L. Cao and Y. Wang. 2019. A survey on session-based recommender systems. arXiv preprint arXiv:1902.04864(2019).  S. Wang L. Cao and Y. Wang. 2019. A survey on session-based recommender systems. arXiv preprint arXiv:1902.04864(2019)."},{"key":"e_1_3_2_1_35_1","volume-title":"International conference on web search and data mining. ACM, 495\u2013503","author":"Wu C.-Y."},{"key":"e_1_3_2_1_36_1","unstructured":"S. Zhang Y. Tay L. Yao and A. Sun. 2018. Next Item Recommendation with Self-Attention. ArXiv abs\/1808.06414(2018).  S. Zhang Y. Tay L. Yao and A. Sun. 2018. Next Item Recommendation with Self-Attention. ArXiv abs\/1808.06414(2018)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"S. Zhang L. Yao A. Sun and Y. Tay. 2019. Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. 52 1 (2019).  S. Zhang L. Yao A. Sun and Y. Tay. 2019. Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. 52 1 (2019).","DOI":"10.1145\/3285029"},{"key":"e_1_3_2_1_38_1","volume-title":"Conference on Artificial Intelligence.","author":"Zhang Y.","year":"2014"},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. 717\u2013726","author":"Zhang Y."},{"key":"e_1_3_2_1_40_1","volume-title":"Conference on Uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc., 580\u2013588","author":"Zimdars A."}],"event":{"name":"RecSys '20: Fourteenth ACM Conference on Recommender Systems","location":"Virtual Event Brazil","acronym":"RecSys '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGecom Special Interest Group on Economics and Computation"]},"container-title":["Fourteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3383313.3412248","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3383313.3412248","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:33:21Z","timestamp":1750199601000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3383313.3412248"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,22]]},"references-count":40,"alternative-id":["10.1145\/3383313.3412248","10.1145\/3383313"],"URL":"https:\/\/doi.org\/10.1145\/3383313.3412248","relation":{},"subject":[],"published":{"date-parts":[[2020,9,22]]}}}