{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:19:49Z","timestamp":1780636789252,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"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":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591961","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"1874-1878","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8726-5277","authenticated-orcid":false,"given":"Siyu","family":"Wang","sequence":"first","affiliation":[{"name":"The University of New South Wales, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8849-4943","authenticated-orcid":false,"given":"Xiaocong","family":"Chen","sequence":"additional","affiliation":[{"name":"The University of New South Wales, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3326-4147","authenticated-orcid":false,"given":"Quan Z.","family":"Sheng","sequence":"additional","affiliation":[{"name":"Macquarie University, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4758-9911","authenticated-orcid":false,"given":"Yihong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Osaka University, Osaka, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4149-839X","authenticated-orcid":false,"given":"Lina","family":"Yao","sequence":"additional","affiliation":[{"name":"Data61, CSIRO & The University of New South Wales, Eveleigh, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"e_1_3_2_1_2_1","volume-title":"Advances in Neural Information Processing Systems","volume":"31","author":"Dupont Emilien","year":"2018","unstructured":"Emilien Dupont. 2018. Learning disentangled joint continuous and discrete representations. Advances in Neural Information Processing Systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_3_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=Sy2fzU9gl","author":"Higgins Irina","year":"2017","unstructured":"Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner. 2017. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=Sy2fzU9gl"},{"key":"e_1_3_2_1_4_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research","volume":"2658","author":"Kim Hyunjik","year":"2018","unstructured":"Hyunjik Kim and Andriy Mnih. 2018. Disentangling by Factorising. In Proceedings of the 35th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 80), Jennifer Dy and Andreas Krause (Eds.). PMLR, 2649--2658. https:\/\/proceedings.mlr.press\/v80\/kim18b.html"},{"key":"e_1_3_2_1_5_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1kG7GZAW","author":"Kumar Abhishek","year":"2018","unstructured":"Abhishek Kumar, Prasanna Sattigeri, and Avinash Balakrishnan. 2018. Variational Inference of Disentangled Latent Concepts from Unlabeled Observations. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1kG7GZAW"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01064"},{"key":"e_1_3_2_1_8_1","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Ma Jianxin","year":"2019","unstructured":"Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, and Wenwu Zhu. 2019. Learning Disentangled Representations for Recommendation. Advances in Neural Information Processing Systems, Vol. 32 (2019)."},{"key":"e_1_3_2_1_9_1","first-page":"19727","article-title":"Learning disentangled representations and group structure of dynamical environments","volume":"33","author":"Quessard Robin","year":"2020","unstructured":"Robin Quessard, Thomas Barrett, and William Clements. 2020. Learning disentangled representations and group structure of dynamical environments. Advances in Neural Information Processing Systems, Vol. 33 (2020), 19727--19737.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_10_1","first-page":"1","article-title":"Weakly Supervised Disentangled Generative Causal Representation Learning","volume":"23","author":"Shen Xinwei","year":"2022","unstructured":"Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, and Tong Zhang. 2022. Weakly Supervised Disentangled Generative Causal Representation Learning. Journal of Machine Learning Research, Vol. 23 (2022), 1--55.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_11_1","first-page":"2579","article-title":"Visualizing Data using t-SNE","volume":"9","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing Data using t-SNE. Journal of Machine Learning Research, Vol. 9, 86 (2008), 2579--2605. http:\/\/jmlr.org\/papers\/v9\/vandermaaten08a.html","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_12_1","volume-title":"Disentangled Representation Learning. arXiv preprint arXiv:2211.11695","author":"Wang Xin","year":"2022","unstructured":"Xin Wang, Hong Chen, Si'ao Tang, Zihao Wu, and Wenwu Zhu. 2022. Disentangled Representation Learning. arXiv preprint arXiv:2211.11695 (2022)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3153112"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401137"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00947"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research","volume":"7163","author":"Yu Yue","year":"2019","unstructured":"Yue Yu, Jie Chen, Tian Gao, and Mo Yu. 2019. DAG-GNN: DAG Structure Learning with Graph Neural Networks. In Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 97), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 7154--7163. https:\/\/proceedings.mlr.press\/v97\/yu19a.html"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591961","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591961","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:48Z","timestamp":1750178268000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591961"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":17,"alternative-id":["10.1145\/3539618.3591961","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591961","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}