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Data"],"published-print":{"date-parts":[[2024,8,31]]},"abstract":"<jats:p>With the development of recommendation algorithms, researchers are paying increasing attention to fairness issues such as user discrimination in recommendations. To address these issues, existing works often filter users\u2019 sensitive information that may cause discrimination during the process of learning user representations. However, these approaches overlook the latent relationship between items\u2019 content attributes and users\u2019 sensitive information. In this article, we propose DALFRec, a fairness-aware recommendation algorithm based on user-side and item-side adversarial learning to mitigate the effects of sensitive information on both sides of the recommendation process. First, we conduct a statistical analysis to demonstrate the latent relationship between items\u2019 information and users\u2019 sensitive attributes. Then, we design a dual-side adversarial learning network that simultaneously filters out users\u2019 sensitive information on the user and item side. Additionally, we propose a new evaluation strategy that leverages the latent relationship between items\u2019 content attributes and users\u2019 sensitive attributes to better assess the algorithm\u2019s ability to reduce discrimination. Our experiments on three real datasets demonstrate the superiority of our proposed algorithm over state-of-the-art methods.<\/jats:p>","DOI":"10.1145\/3648683","type":"journal-article","created":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T12:25:18Z","timestamp":1708345518000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Dual-Side Adversarial Learning Based Fair Recommendation for Sensitive Attribute Filtering"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8993-8940","authenticated-orcid":false,"given":"Shenghao","family":"Liu","sequence":"first","affiliation":[{"name":"Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6759-2034","authenticated-orcid":false,"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3051-3822","authenticated-orcid":false,"given":"Lingzhi","family":"Yi","sequence":"additional","affiliation":[{"name":"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2641-1708","authenticated-orcid":false,"given":"Xianjun","family":"Deng","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7986-4244","authenticated-orcid":false,"given":"Laurence T.","family":"Yang","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0312-4805","authenticated-orcid":false,"given":"Bang","family":"Wang","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Smart Internet Technology, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,19]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305404"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330745"},{"key":"e_1_3_1_4_2","first-page":"171","article-title":"Nash equilibria of static prediction games","volume":"22","author":"Br\u00fcckner Michael","year":"2009","unstructured":"Michael Br\u00fcckner and Tobias Scheffer. 2009. 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