{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T09:35:49Z","timestamp":1782293749383,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":36,"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"}],"funder":[{"name":"DARPA","award":["W911NF-16-1-0565"],"award-info":[{"award-number":["W911NF-16-1-0565"]}]},{"name":"NSF","award":["IIS-1841138"],"award-info":[{"award-number":["IIS-1841138"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,22]]},"DOI":"10.1145\/3383313.3412239","type":"proceedings-article","created":{"date-parts":[[2020,9,19]],"date-time":"2020-09-19T02:28:21Z","timestamp":1600482501000},"page":"43-52","source":"Crossref","is-referenced-by-count":35,"title":["Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation"],"prefix":"10.1145","author":[{"given":"Yin","family":"Zhang","sequence":"first","affiliation":[{"name":"Texas A&M University, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziwei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Texas A&M University, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"He","sequence":"additional","affiliation":[{"name":"Texas A&M University, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Caverlee","sequence":"additional","affiliation":[{"name":"Texas A&M University, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Alexander\u00a0A Alemi Ian Fischer Joshua\u00a0V Dillon and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410(2016).  Alexander\u00a0A Alemi Ian Fischer Joshua\u00a0V Dillon and Kevin Murphy. 2016. Deep variational information bottleneck. arXiv preprint arXiv:1612.00410(2016)."},{"key":"e_1_3_2_1_2_1","unstructured":"Chris Burgess and Hyunjik Kim. 2018. 3D Shapes Dataset. https:\/\/github.com\/deepmind\/3dshapes-dataset\/.  Chris Burgess and Hyunjik Kim. 2018. 3D Shapes Dataset. https:\/\/github.com\/deepmind\/3dshapes-dataset\/."},{"key":"e_1_3_2_1_3_1","unstructured":"Christopher\u00a0P Burgess Irina Higgins Arka Pal Loic Matthey Nick Watters Guillaume Desjardins and Alexander Lerchner. 2018. Understanding disentangling in \u03b2-VAE. arXiv preprint arXiv:1804.03599(2018).  Christopher\u00a0P Burgess Irina Higgins Arka Pal Loic Matthey Nick Watters Guillaume Desjardins and Alexander Lerchner. 2018. Understanding disentangling in \u03b2-VAE. arXiv preprint arXiv:1804.03599(2018)."},{"key":"e_1_3_2_1_4_1","unstructured":"Tian\u00a0Qi Chen Xuechen Li Roger\u00a0B Grosse and David\u00a0K Duvenaud. 2018. Isolating sources of disentanglement in variational autoencoders. In Advances in Neural Information Processing Systems. 2610\u20132620.  Tian\u00a0Qi Chen Xuechen Li Roger\u00a0B Grosse and David\u00a0K Duvenaud. 2018. Isolating sources of disentanglement in variational autoencoders. In Advances in Neural Information Processing Systems. 2610\u20132620."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186145"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00955"},{"key":"e_1_3_2_1_7_1","volume-title":"AAAI conference on artificial intelligence.","author":"He Ruining","year":"2016"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0116"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911489"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR) 2, 5(2017)","author":"Higgins Irina","year":"2017"},{"key":"e_1_3_2_1_13_1","unstructured":"Diederik\u00a0P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114(2013).  Diederik\u00a0P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114(2013)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098077"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623638"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_18_1","unstructured":"Francesco Locatello Gabriele Abbati Thomas Rainforth Stefan Bauer Bernhard Sch\u00f6lkopf and Olivier Bachem. 2019. On the fairness of disentangled representations. In Advances in Neural Information Processing Systems. 14611\u201314624.  Francesco Locatello Gabriele Abbati Thomas Rainforth Stefan Bauer Bernhard Sch\u00f6lkopf and Olivier Bachem. 2019. On the fairness of disentangled representations. In Advances in Neural Information Processing Systems. 14611\u201314624."},{"key":"e_1_3_2_1_19_1","volume-title":"International Conference on Machine Learning (ICML). 4114\u20134124","author":"Locatello Francesco","year":"2019"},{"key":"e_1_3_2_1_20_1","volume-title":"AAAI conference on artificial intelligence.","author":"Lu Zhongqi","year":"2015"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2893355"},{"key":"e_1_3_2_1_22_1","unstructured":"Jianxin Ma Chang Zhou Peng Cui Hongxia Yang and Wenwu Zhu. 2019. Learning disentangled representations for recommendation. In Advances in Neural Information Processing Systems. 5711\u20135722.  Jianxin Ma Chang Zhou Peng Cui Hongxia Yang and Wenwu Zhu. 2019. Learning disentangled representations for recommendation. In Advances in Neural Information Processing Systems. 5711\u20135722."},{"key":"e_1_3_2_1_23_1","unstructured":"Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow and Brendan Frey. 2015. Adversarial autoencoders. arXiv preprint arXiv:1511.05644(2015).  Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow and Brendan Frey. 2015. Adversarial autoencoders. arXiv preprint arXiv:1511.05644(2015)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_2_1_25_1","unstructured":"Andriy Mnih and Russ\u00a0R Salakhutdinov. 2008. Probabilistic matrix factorization. In Advances in Neural Information Processing Systems. 1257\u20131264.  Andriy Mnih and Russ\u00a0R Salakhutdinov. 2008. Probabilistic matrix factorization. In Advances in Neural Information Processing Systems. 1257\u20131264."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_28_1","unstructured":"Kihyuk Sohn Honglak Lee and Xinchen Yan. 2015. Learning structured output representation using deep conditional generative models. In Advances in Neural Information Processing Systems. 3483\u20133491.  Kihyuk Sohn Honglak Lee and Xinchen Yan. 2015. Learning structured output representation using deep conditional generative models. In Advances in Neural Information Processing Systems. 3483\u20133491."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330940"},{"key":"e_1_3_2_1_30_1","first-page":"3221","article-title":"Accelerating t-SNE using tree-based algorithms","volume":"15","author":"Der\u00a0Maaten Laurens Van","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835837"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/447"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346996"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240368"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661998"}],"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\/3383313.3412239","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3383313.3412239","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3383313.3412239","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3383313.3412239","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\/3383313.3412239"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,22]]},"references-count":36,"alternative-id":["10.1145\/3383313.3412239","10.1145\/3383313"],"URL":"https:\/\/doi.org\/10.1145\/3383313.3412239","relation":{},"subject":[],"published":{"date-parts":[[2020,9,22]]}}}