{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:42:27Z","timestamp":1780418547366,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T00:00:00Z","timestamp":1657065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Natural Science Foundation of China under Grant award number(s)","award":["No.61976204, U1811461, U1811461"],"award-info":[{"award-number":["No.61976204, U1811461, U1811461"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,6]]},"DOI":"10.1145\/3477495.3531913","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T15:12:08Z","timestamp":1657206728000},"page":"2657-2662","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":44,"title":["Selective Fairness in Recommendation via Prompts"],"prefix":"10.1145","author":[{"given":"Yiqing","family":"Wu","sequence":"first","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, & Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruobing","family":"Xie","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongchun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuzhen","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ao","family":"Xiang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leyu","family":"Lin","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"He","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Towards principled methods for training generative adversarial networks. arXiv preprint arXiv:1701.04862","author":"Arjovsky Martin","year":"2017","unstructured":"Martin Arjovsky and L\u00e9on Bottou . 2017. Towards principled methods for training generative adversarial networks. arXiv preprint arXiv:1701.04862 ( 2017 ). Martin Arjovsky and L\u00e9on Bottou. 2017. Towards principled methods for training generative adversarial networks. arXiv preprint arXiv:1701.04862 (2017)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330745"},{"key":"e_1_3_2_2_3_1","unstructured":"Tom B Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. arXiv preprin (2020).  Tom B Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. arXiv preprin (2020)."},{"key":"e_1_3_2_2_4_1","volume-title":"Multisided fairness for recommendation. arXiv preprint arXiv:1707.00093","author":"Burke Robin","year":"2017","unstructured":"Robin Burke . 2017. Multisided fairness for recommendation. arXiv preprint arXiv:1707.00093 ( 2017 ). Robin Burke. 2017. Multisided fairness for recommendation. arXiv preprint arXiv:1707.00093 (2017)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of NIPS.","author":"Goodfellow Ian","year":"2014","unstructured":"Ian Goodfellow , Jean Pouget-Abadie , Mehdi Mirza , Bing Xu , David Warde-Farley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014 . Generative adversarial nets . In Proceedings of NIPS. Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. In Proceedings of NIPS."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467176"},{"key":"e_1_3_2_2_8_1","volume-title":"International Conference on Machine Learning. PMLR, 2790--2799","author":"Houlsby Neil","year":"2019","unstructured":"Neil Houlsby , Andrei Giurgiu , Stanislaw Jastrzebski , Bruna Morrone , Quentin De Laroussilhe , Andrea Gesmundo , Mona Attariyan , and Sylvain Gelly . 2019 . Parameter-efficient transfer learning for NLP . In International Conference on Machine Learning. PMLR, 2790--2799 . Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019. Parameter-efficient transfer learning for NLP. In International Conference on Machine Learning. PMLR, 2790--2799."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109872"},{"key":"e_1_3_2_2_10_1","unstructured":"Toshihiro Kamishima Shotaro Akaho Hideki Asoh and Jun Sakuma. 2014. Correcting Popularity Bias by Enhancing Recommendation Neutrality.. In RecSys Posters.  Toshihiro Kamishima Shotaro Akaho Hideki Asoh and Jun Sakuma. 2014. Correcting Popularity Bias by Enhancing Recommendation Neutrality.. In RecSys Posters."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"e_1_3_2_2_13_1","volume-title":"Prefix-tuning: Optimizing continuous prompts for generation. ACL-IJNLP","author":"Li Xiang Lisa","year":"2021","unstructured":"Xiang Lisa Li and Percy Liang . 2021 . Prefix-tuning: Optimizing continuous prompts for generation. ACL-IJNLP (2021). Xiang Lisa Li and Percy Liang. 2021. Prefix-tuning: Optimizing continuous prompts for generation. ACL-IJNLP (2021)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462966"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346998"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347016"},{"key":"e_1_3_2_2_17_1","volume-title":"Fairness in rankings and recommendations: An overview. The VLDB Journal","author":"Pitoura Evaggelia","year":"2021","unstructured":"Evaggelia Pitoura , Kostas Stefanidis , and Georgia Koutrika . 2021. Fairness in rankings and recommendations: An overview. The VLDB Journal ( 2021 ), 1--28. Evaggelia Pitoura, Kostas Stefanidis, and Georgia Koutrika. 2021. Fairness in rankings and recommendations: An overview. The VLDB Journal (2021), 1--28."},{"key":"e_1_3_2_2_18_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. UAI","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2009 . BPR: Bayesian personalized ranking from implicit feedback. UAI (2009). Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. UAI (2009)."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357925"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_2_21_1","unstructured":"Chuhan Wu Fangzhao Wu Xiting Wang Yongfeng Huang and Xing Xie. 2021. Fairrec: fairness-aware news recommendation with decomposed adversarial learning. AAAI.  Chuhan Wu Fangzhao Wu Xiting Wang Yongfeng Huang and Xing Xie. 2021. Fairrec: fairness-aware news recommendation with decomposed adversarial learning. AAAI."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450015"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00126-0_11"},{"key":"e_1_3_2_2_24_1","volume-title":"UPRec: User-Aware Pre-training for Recommender Systems. arXiv preprint","author":"Xiao Chaojun","year":"2021","unstructured":"Chaojun Xiao , Ruobing Xie , Yuan Yao , Zhiyuan Liu , Maosong Sun , Xu Zhang , and Leyu Lin . 2021. UPRec: User-Aware Pre-training for Recommender Systems. arXiv preprint ( 2021 ). Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, and Leyu Lin. 2021. UPRec: User-Aware Pre-training for Recommender Systems. arXiv preprint (2021)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109887"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/349"},{"key":"e_1_3_2_2_27_1","volume-title":"Contrastive Cross-domain Recommendation in Matching. arXiv preprint arXiv:2112.00999","author":"Xie Ruobing","year":"2021","unstructured":"Ruobing Xie , Qi Liu , Liangdong Wang , Shukai Liu , Bo Zhang , and Leyu Lin . 2021. Contrastive Cross-domain Recommendation in Matching. arXiv preprint arXiv:2112.00999 ( 2021 ). Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, and Leyu Lin. 2021. Contrastive Cross-domain Recommendation in Matching. arXiv preprint arXiv:2112.00999 (2021)."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/379"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16580"},{"key":"e_1_3_2_2_30_1","volume-title":"Knowledge transfer via pre-training for recommendation: A review and prospect. Frontiers in big Data","author":"Zeng Zheni","year":"2021","unstructured":"Zheni Zeng , Chaojun Xiao , Yuan Yao , Ruobing Xie , Zhiyuan Liu , Fen Lin , Leyu Lin , and Maosong Sun . 2021. Knowledge transfer via pre-training for recommendation: A review and prospect. Frontiers in big Data ( 2021 ). Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, and Maosong Sun. 2021. Knowledge transfer via pre-training for recommendation: A review and prospect. Frontiers in big Data (2021)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_2_32_1","volume-title":"Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen.","author":"Zhou Kun","year":"2020","unstructured":"Kun Zhou , Hui Wang , Wayne Xin Zhao , Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020 . S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization. In CIKM. Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020. S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization. In CIKM."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380172"},{"key":"e_1_3_2_2_34_1","volume-title":"Proceedings of SIGIR. 1167--1176","author":"Zhu Yongchun","year":"2021","unstructured":"Yongchun Zhu , Ruobing Xie , Fuzhen Zhuang , Kaikai Ge , Ying Sun , Xu Zhang , Leyu Lin , and Juan Cao . 2021 . Learning to warm up cold item embeddings for coldstart recommendation with meta scaling and shifting networks . In Proceedings of SIGIR. 1167--1176 . Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, and Juan Cao. 2021. Learning to warm up cold item embeddings for coldstart recommendation with meta scaling and shifting networks. In Proceedings of SIGIR. 1167--1176."}],"event":{"name":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Madrid Spain","acronym":"SIGIR '22","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531913","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477495.3531913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:19Z","timestamp":1750183819000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531913"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,6]]},"references-count":34,"alternative-id":["10.1145\/3477495.3531913","10.1145\/3477495"],"URL":"https:\/\/doi.org\/10.1145\/3477495.3531913","relation":{},"subject":[],"published":{"date-parts":[[2022,7,6]]},"assertion":[{"value":"2022-07-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}