{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T17:50:06Z","timestamp":1777917006696,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,9,10]],"date-time":"2019-09-10T00:00:00Z","timestamp":1568073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,9,10]]},"DOI":"10.1145\/3298689.3347068","type":"proceedings-article","created":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T13:21:31Z","timestamp":1568208091000},"page":"428-431","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["Latent multi-criteria ratings for recommendations"],"prefix":"10.1145","author":[{"given":"Pan","family":"Li","sequence":"first","affiliation":[{"name":"New York University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Tuzhilin","sequence":"additional","affiliation":[{"name":"New York University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,9,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Recommender systems handbook","author":"Adomavicius Gediminas","unstructured":"Gediminas Adomavicius and YoungOk Kwon . 2015. Multi-criteria recommender systems . In Recommender systems handbook . Springer , 847--880. Gediminas Adomavicius and YoungOk Kwon. 2015. Multi-criteria recommender systems. In Recommender systems handbook. Springer, 847--880."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098170"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11257-015-9155-5"},{"key":"e_1_3_2_1_5_1","volume-title":"Martin Renqiang Min, and Yizhou Sun","author":"Chen Ting","year":"2018","unstructured":"Ting Chen , Martin Renqiang Min, and Yizhou Sun . 2018 . Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations . arXiv preprint arXiv:1806.09464 (2018). Ting Chen, Martin Renqiang Min, and Yizhou Sun. 2018. Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. arXiv preprint arXiv:1806.09464 (2018)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186145"},{"key":"e_1_3_2_1_7_1","volume-title":"Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart Van Merri\u00ebnboer , Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 . Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv 1406.1078 (2014). Kyunghyun Cho, Bart Van Merri\u00ebnboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv 1406.1078 (2014)."},{"key":"e_1_3_2_1_8_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_1_9_1","series-title":"NBS Applied Mathematics Series 33","volume-title":"Statistical theory of extreme values and some practical applications","author":"Gumbel Emil Julius","year":"1954","unstructured":"Emil Julius Gumbel . 1954. Statistical theory of extreme values and some practical applications . NBS Applied Mathematics Series 33 ( 1954 ). Emil Julius Gumbel. 1954. Statistical theory of extreme values and some practical applications. NBS Applied Mathematics Series 33 (1954)."},{"key":"e_1_3_2_1_10_1","volume-title":"Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144","author":"Jang Eric","year":"2016","unstructured":"Eric Jang , Shixiang Gu , and Ben Poole . 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144 ( 2016 ). Eric Jang, Shixiang Gu, and Ben Poole. 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144 (2016)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2229012.2229065"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40558-014-0010-z"},{"key":"e_1_3_2_1_13_1","volume-title":"Principal component analysis","author":"Jolliffe Ian","unstructured":"Ian Jolliffe . 2011. Principal component analysis . Springer . Ian Jolliffe. 2011. Principal component analysis. Springer."},{"key":"e_1_3_2_1_14_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling . 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 ( 2013 ). Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_16_1","unstructured":"Chris J Maddison Daniel Tarlow and Tom Minka. 2014. A* sampling. In Advances in Neural Information Processing Systems. 3086--3094.   Chris J Maddison Daniel Tarlow and Tom Minka. 2014. A* sampling. In Advances in Neural Information Processing Systems . 3086--3094."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109905"},{"key":"e_1_3_2_1_18_1","volume-title":"Recommender systems handbook","author":"Ricci Francesco","unstructured":"Francesco Ricci , Lior Rokach , and Bracha Shapira . 2015. Recommender systems: introduction and challenges . In Recommender systems handbook . Springer , 1--34. Francesco Ricci, Lior Rokach, and Bracha Shapira. 2015. Recommender systems: introduction and challenges. In Recommender systems handbook. Springer, 1--34."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1287\/isre.1100.0336"},{"key":"e_1_3_2_1_20_1","volume-title":"Compressing Word Embeddings via Deep Compositional Code Learning. arXiv preprint arXiv:1711.01068","author":"Shu Raphael","year":"2017","unstructured":"Raphael Shu and Hideki Nakayama . 2017. Compressing Word Embeddings via Deep Compositional Code Learning. arXiv preprint arXiv:1711.01068 ( 2017 ). Raphael Shu and Hideki Nakayama. 2017. Compressing Word Embeddings via Deep Compositional Code Learning. arXiv preprint arXiv:1711.01068 (2017)."},{"key":"e_1_3_2_1_21_1","unstructured":"Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks. In Advances in neural information processing systems. 3104--3112.   Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks. In Advances in neural information processing systems . 3104--3112."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835903"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"}],"event":{"name":"RecSys '19: Thirteenth ACM Conference on Recommender Systems","location":"Copenhagen Denmark","acronym":"RecSys '19"},"container-title":["Proceedings of the 13th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3298689.3347068","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3298689.3347068","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:12:56Z","timestamp":1750201976000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3298689.3347068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,10]]},"references-count":23,"alternative-id":["10.1145\/3298689.3347068","10.1145\/3298689"],"URL":"https:\/\/doi.org\/10.1145\/3298689.3347068","relation":{},"subject":[],"published":{"date-parts":[[2019,9,10]]},"assertion":[{"value":"2019-09-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}