{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T12:31:06Z","timestamp":1770985866533,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Fundamental Research Funds for the Central Universities"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61931008, 61620106009, 61836002, 61976202"],"award-info":[{"award-number":["61931008, 61620106009, 61836002, 61976202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the National Key R&D Program of China","award":["2018AAA0102104"],"award-info":[{"award-number":["2018AAA0102104"]}]},{"name":"Youth Innovation Promotion Association CAS"},{"name":"the Strategic Priority Research Program of Chinese Academy of Sciences","award":["XDB28000000"],"award-info":[{"award-number":["XDB28000000"]}]},{"name":"the National Postdoctoral Program for Innovative Talents","award":["BX2021298"],"award-info":[{"award-number":["BX2021298"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1145\/3474085.3475706","type":"proceedings-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T06:57:34Z","timestamp":1634540254000},"page":"5619-5627","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Pareto Optimality for Fairness-constrained Collaborative Filtering"],"prefix":"10.1145","author":[{"given":"Qianxiu","family":"Hao","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Qianqian","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Zhiyong","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Qingming","family":"Huang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; &amp; Peng Cheng Laboratory, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"International Conference on Machine Learning","volume":"80","author":"Agarwal Alekh","unstructured":"Alekh Agarwal , Alina Beygelzimer , Miroslav Dud'i k, John Langford , and Hanna M. Wallach . 2018. A Reductions Approach to Fair Classification . In International Conference on Machine Learning , Vol. 80 . 60--69. Alekh Agarwal, Alina Beygelzimer, Miroslav Dud'i k, John Langford, and Hanna M. Wallach. 2018. A Reductions Approach to Fair Classification. In International Conference on Machine Learning, Vol. 80. 60--69."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1345448.1345465"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330745"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210063"},{"key":"e_1_3_2_2_5_1","first-page":"1","article-title":"Ranking with Fairness Constraints","volume":"28","author":"Celis L. Elisa","year":"2018","unstructured":"L. Elisa Celis , Damian Straszak , and Nisheeth K. Vishnoi . 2018 . Ranking with Fairness Constraints . In International Colloquium on Automata, Languages, and Programming. 28 : 1 -- 28 :15. L. Elisa Celis, Damian Straszak, and Nisheeth K. Vishnoi. 2018. Ranking with Fairness Constraints. In International Colloquium on Automata, Languages, and Programming. 28:1--28:15.","journal-title":"International Colloquium on Automata, Languages, and Programming."},{"key":"e_1_3_2_2_6_1","volume-title":"GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. In International Conference on Machine Learning. 793--802","author":"Chen Zhao","year":"2018","unstructured":"Zhao Chen , Vijay Badrinarayanan , Chen-Yu Lee , and Andrew Rabinovich . 2018 . GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. In International Conference on Machine Learning. 793--802 . Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, and Andrew Rabinovich. 2018. GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks. In International Conference on Machine Learning. 793--802."},{"key":"e_1_3_2_2_7_1","first-page":"1","article-title":"Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals","volume":"20","author":"Cotter Andrew","year":"2019","unstructured":"Andrew Cotter , Heinrich Jiang , Maya R. Gupta , Serena Wang , Taman Narayan , Seungil You , and Karthik Sridharan . 2019 . Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals . Journal of Machine Learning Research , Vol. 20 , 172 (2019), 1 -- 59 . Andrew Cotter, Heinrich Jiang, Maya R. Gupta, Serena Wang, Taman Narayan, Seungil You, and Karthik Sridharan. 2019. Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. Journal of Machine Learning Research, Vol. 20, 172 (2019), 1--59.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/559152"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.crma.2012.03.014"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s001860000043"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/15M1016424"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330691"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_2_14_1","volume-title":"Neural Collaborative Filtering. In International World Wide Web Conferences. 173--182","author":"He Xiangnan","year":"2017","unstructured":"Xiangnan He , Lizi Liao , Hanwang Zhang , Liqiang Nie , Xia Hu , and Tat-Seng Chua . 2017 . Neural Collaborative Filtering. In International World Wide Web Conferences. 173--182 . Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017. Neural Collaborative Filtering. In International World Wide Web Conferences. 173--182."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"e_1_3_2_2_16_1","unstructured":"Nathan Kallus and Angela Zhou. 2019. The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric. In Advances in Neural Information Processing Systems. 3433--3443.  Nathan Kallus and Angela Zhou. 2019. The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric. In Advances in Neural Information Processing Systems. 3433--3443."},{"key":"e_1_3_2_2_17_1","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition. 7482--7491","author":"Kendall Alex","year":"2018","unstructured":"Alex Kendall , Yarin Gal , and Roberto Cipolla . 2018 . Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics . In IEEE Conference on Computer Vision and Pattern Recognition. 7482--7491 . Alex Kendall, Yarin Gal, and Roberto Cipolla. 2018. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. In IEEE Conference on Computer Vision and Pattern Recognition. 7482--7491."},{"key":"e_1_3_2_2_18_1","volume-title":"Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations.","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015 . Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations. Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_19_1","volume-title":"Auto-Encoding Variational Bayes. In International Conference on Learning Representations.","author":"Diederik","unstructured":"Diederik P. Kingma and Max Welling. 2014 . Auto-Encoding Variational Bayes. In International Conference on Learning Representations. Diederik P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_21_1","first-page":"720","article-title":"Survey of recommendation based on collaborative filtering","volume":"27","author":"Leng Y.-J.","year":"2014","unstructured":"Y.-J. Leng , Q. Lu , and C.-Y. Liang . 2014 . Survey of recommendation based on collaborative filtering . IEEE Transactions on Pattern Recognition and Artificial Intelligence , Vol. 27 , 8 (2014), 720 -- 734 . Y.-J. Leng, Q. Lu, and C.-Y. Liang. 2014. Survey of recommendation based on collaborative filtering. IEEE Transactions on Pattern Recognition and Artificial Intelligence, Vol. 27, 8 (2014), 720--734.","journal-title":"IEEE Transactions on Pattern Recognition and Artificial Intelligence"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346998"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455367"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454800"},{"key":"e_1_3_2_2_26_1","volume-title":"A Survey on Bias and Fairness in Machine Learning. arXiv preprint arXiv:1909.03388","author":"Mehrabi Ninareh","year":"2019","unstructured":"Ninareh Mehrabi , Fred Morstatter , Nripsuta Saxena , Kristina Lerman , and Aram Galstyan . 2019. A Survey on Bias and Fairness in Machine Learning. arXiv preprint arXiv:1909.03388 ( 2019 ). Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2019. A Survey on Bias and Fairness in Machine Learning. arXiv preprint arXiv:1909.03388 (2019)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272027"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401100"},{"key":"e_1_3_2_2_29_1","volume-title":"Pairwise Fairness for Ranking and Regression. In AAAI Conference on Artificial Intelligence. 5248--5255","author":"Narasimhan Harikrishna","year":"2020","unstructured":"Harikrishna Narasimhan , Andrew Cotter , Maya R. Gupta , and Serena Wang . 2020 . Pairwise Fairness for Ranking and Regression. In AAAI Conference on Artificial Intelligence. 5248--5255 . Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, and Serena Wang. 2020. Pairwise Fairness for Ranking and Regression. In AAAI Conference on Artificial Intelligence. 5248--5255."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-64063-1_7"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10589-017-9921-x"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/3044805.3045035"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.5860\/crl.78.3.403"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1015472306888"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/3326943.3326992"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052612"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220088"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454774"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109887"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295052"},{"key":"e_1_3_2_2_42_1","volume-title":"New fairness metrics for recommendation that embrace differences. arXiv preprint arXiv:1706.09838","author":"Yao Sirui","year":"2017","unstructured":"Sirui Yao and Bert Huang . 2017b. New fairness metrics for recommendation that embrace differences. arXiv preprint arXiv:1706.09838 ( 2017 ). Sirui Yao and Bert Huang. 2017b. New fairness metrics for recommendation that embrace differences. arXiv preprint arXiv:1706.09838 (2017)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132938"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2889774"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.892759"},{"key":"e_1_3_2_2_46_1","volume-title":"Evolutionary algorithms for multiobjective optimization: Methods and applications","author":"Zitzler Eckart","unstructured":"Eckart Zitzler . 1999. Evolutionary algorithms for multiobjective optimization: Methods and applications . Vol. 63 . Eckart Zitzler. 1999. Evolutionary algorithms for multiobjective optimization: Methods and applications. Vol. 63."}],"event":{"name":"MM '21: ACM Multimedia Conference","location":"Virtual Event China","acronym":"MM '21","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 29th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475706","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3474085.3475706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:25Z","timestamp":1750193305000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3474085.3475706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":46,"alternative-id":["10.1145\/3474085.3475706","10.1145\/3474085"],"URL":"https:\/\/doi.org\/10.1145\/3474085.3475706","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]},"assertion":[{"value":"2021-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}