{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T16:05:55Z","timestamp":1776096355097,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"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":[[2023,2,27]]},"DOI":"10.1145\/3539597.3570389","type":"proceedings-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T23:27:00Z","timestamp":1677108420000},"page":"490-498","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Disentangled Representation for Diversified Recommendations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3321-5940","authenticated-orcid":false,"given":"Xiaoying","family":"Zhang","sequence":"first","affiliation":[{"name":"AI Lab, Bytedance Inc., Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6524-9195","authenticated-orcid":false,"given":"Hongning","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9628-3487","authenticated-orcid":false,"given":"Hang","family":"Li","sequence":"additional","affiliation":[{"name":"AI Lab, Bytedance Inc., Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380281"},{"key":"e_1_3_2_2_2_1","volume-title":"Twenty-Fourth International Joint Conference on Artificial Intelligence.","author":"Ashkan Azin","year":"2015","unstructured":"Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, and Zheng Wen. 2015. Optimal greedy diversity for recommendation. In Twenty-Fourth International Joint Conference on Artificial Intelligence."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/290941.291025"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240370"},{"key":"e_1_3_2_2_5_1","volume-title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems. 5627--5638","author":"Chen Laming","year":"2018","unstructured":"Laming Chen, Guoxin Zhang, and Hanning Zhou. 2018. Fast greedy map inference for determinantal point process to improve recommendation diversity. In Proceedings of the 32nd International Conference on Neural Information Processing Systems. 5627--5638."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290999"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531952"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052585"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"e_1_3_2_2_11_1","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"Duchi John","year":"2011","unstructured":"John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. Journal of machine learning research 12, 7 (2011).","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_12_1","volume-title":"An introduction to ROC analysis. Pattern recognition letters 27, 8","author":"Fawcett Tom","year":"2006","unstructured":"Tom Fawcett. 2006. An introduction to ROC analysis. Pattern recognition letters 27, 8 (2006), 861--874."},{"key":"e_1_3_2_2_13_1","volume-title":"International conference on machine learning. PMLR, 1180-- 1189","author":"Ganin Yaroslav","year":"2015","unstructured":"Yaroslav Ganin and Victor Lempitsky. 2015. Unsupervised domain adaptation by backpropagation. In International conference on machine learning. PMLR, 1180-- 1189."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401431"},{"key":"e_1_3_2_2_15_1","volume-title":"NIPS symposium on machine learning and the law","volume":"1","author":"Grgic-Hlaca Nina","year":"2016","unstructured":"Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P Gummadi, and Adrian Weller. 2016. The case for process fairness in learning: Feature selection for fair decision making. In NIPS symposium on machine learning and the law, Vol. 1. 2."},{"key":"e_1_3_2_2_16_1","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247 (2017)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2800172"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347045"},{"key":"e_1_3_2_2_20_1","volume-title":"Cheng Wang, Peng Jiang, and Ji-Rong Wen.","author":"Lin Zihan","year":"2022","unstructured":"Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, and Ji-Rong Wen. 2022. Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. arXiv preprint arXiv:2206.05020 (2022)."},{"key":"e_1_3_2_2_21_1","volume-title":"Determinantal Point Process Likelihoods for Sequential Recommendation. arXiv preprint arXiv:2204.11562","author":"Liu Yuli","year":"2022","unstructured":"Yuli Liu, Christian Walder, and Lexing Xie. 2022. Determinantal Point Process Likelihoods for Sequential Recommendation. arXiv preprint arXiv:2204.11562 (2022)."},{"key":"e_1_3_2_2_22_1","volume-title":"Learning disentangled representations for recommendation. arXiv preprint arXiv:1910.14238","author":"Ma Jianxin","year":"2019","unstructured":"Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, and Wenwu Zhu. 2019. Learning disentangled representations for recommendation. arXiv preprint arXiv:1910.14238 (2019)."},{"key":"e_1_3_2_2_23_1","volume-title":"Probabilistic matrix factorization. Advances in neural information processing systems 20","author":"Mnih Andriy","year":"2007","unstructured":"Andriy Mnih and Russ R Salakhutdinov. 2007. Probabilistic matrix factorization. Advances in neural information processing systems 20 (2007)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482425"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568012"},{"key":"e_1_3_2_2_26_1","volume-title":"Multimodal Topic Learning for Video Recommendation. arXiv preprint arXiv:2010.13373","author":"Pu Shi","year":"2020","unstructured":"Shi Pu, Yijiang He, Zheng Li, and Mao Zheng. 2020. Multimodal Topic Learning for Video Recommendation. arXiv preprint arXiv:2010.13373 (2020)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/2540128.2540517"},{"key":"e_1_3_2_2_28_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618","author":"Rendle Steffen","year":"2012","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618 (2012)."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371783"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240372"},{"key":"e_1_3_2_2_31_1","volume-title":"Deconfounded Recommendation for Alleviating Bias Amplification. arXiv preprint arXiv:2105.10648","author":"Feng Fuli","year":"2021","unstructured":"WenjieWang, Fuli Feng, Xiangnan He, XiangWang, and Tat-Seng Chua. 2021. Deconfounded Recommendation for Alleviating Bias Amplification. arXiv preprint arXiv:2105.10648 (2021)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272018"},{"key":"e_1_3_2_2_33_1","volume-title":"Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. 2576--2584","author":"An Mingxiao","year":"2019","unstructured":"ChuhanWu, FangzhaoWu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, and Xing Xie. 2019. Npa: Neural news recommendation with personalized attention. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. 2576--2584."},{"key":"e_1_3_2_2_34_1","volume-title":"International Conference on Machine Learning. PMLR, 5315--5324","author":"Wu Liwei","year":"2018","unstructured":"Liwei Wu, Cho-Jui Hsieh, and James Sharpnack. 2018. Sql-rank: A listwise approach to collaborative ranking. In International Conference on Machine Learning. PMLR, 5315--5324."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210051"},{"key":"e_1_3_2_2_36_1","first-page":"3870","article-title":"PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation","volume":"19","author":"Wu Qiong","year":"2019","unstructured":"Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, and Lu Guan. 2019. PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation.. In IJCAI, Vol. 19. 3870--3876.","journal-title":"IJCAI"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313727"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449873"},{"key":"e_1_3_2_2_39_1","volume-title":"International Conference on Machine Learning. PMLR, 802--810","author":"Yan Ling","year":"2014","unstructured":"Ling Yan, Wu-jun Li, Gui-Rong Xue, and Dingyi Han. 2014. Coupled group lasso for web-scale ctr prediction in display advertising. In International Conference on Machine Learning. PMLR, 802--810."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449835"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449788"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1000488107"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/1060745.1060754"}],"event":{"name":"WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining","location":"Singapore Singapore","acronym":"WSDM '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570389","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539597.3570389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:29Z","timestamp":1750182689000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,27]]},"references-count":44,"alternative-id":["10.1145\/3539597.3570389","10.1145\/3539597"],"URL":"https:\/\/doi.org\/10.1145\/3539597.3570389","relation":{},"subject":[],"published":{"date-parts":[[2023,2,27]]},"assertion":[{"value":"2023-02-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}