{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:09:31Z","timestamp":1775912971770,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSF","award":["IIS-1939716"],"award-info":[{"award-number":["IIS-1939716"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"DOI":"10.1145\/3511808.3557423","type":"proceedings-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T01:22:22Z","timestamp":1665883342000},"page":"1238-1247","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":35,"title":["Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems"],"prefix":"10.1145","author":[{"given":"Allen","family":"Lin","sequence":"first","affiliation":[{"name":"Texas A&amp;M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianling","family":"Wang","sequence":"additional","affiliation":[{"name":"Texas A&amp;M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziwei","family":"Zhu","sequence":"additional","affiliation":[{"name":"George Mason University, Fairfax, VA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James","family":"Caverlee","sequence":"additional","affiliation":[{"name":"Texas A&amp;M University, College Station, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306618.3314309"},{"key":"e_1_3_2_1_2_1","volume-title":"Reducing Popularity Bias in Recommendation Over Time. CoRR","author":"Abdollahpouri Himan","year":"2019","unstructured":"Himan Abdollahpouri and Robin Burke . 2019. Reducing Popularity Bias in Recommendation Over Time. CoRR , Vol. abs\/ 1906 .11711 ( 2019 ). [arXiv]1906.11711 http:\/\/arxiv.org\/abs\/1906.11711 Himan Abdollahpouri and Robin Burke. 2019. Reducing Popularity Bias in Recommendation Over Time. CoRR, Vol. abs\/1906.11711 (2019). [arXiv]1906.11711 http:\/\/arxiv.org\/abs\/1906.11711"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109912"},{"key":"e_1_3_2_1_4_1","unstructured":"Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019a. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference.  Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2019a. Managing popularity bias in recommender systems with personalized re-ranking. In The thirty-second international flairs conference."},{"key":"e_1_3_2_1_5_1","volume-title":"The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286","author":"Abdollahpouri Himan","year":"2019","unstructured":"Himan Abdollahpouri , Masoud Mansoury , Robin Burke , and Bamshad Mobasher . 2019b. The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 ( 2019 ). Himan Abdollahpouri, Masoud Mansoury, Robin Burke, and Bamshad Mobasher. 2019b. The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 (2019)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Himan Abdollahpouri Masoud Mansoury Robin Burke Bamshad Mobasher and Edward Malthouse. 2021. User-Centered Evaluation of Popularity Bias in Recommender Systems. In UMAP.  Himan Abdollahpouri Masoud Mansoury Robin Burke Bamshad Mobasher and Edward Malthouse. 2021. User-Centered Evaluation of Popularity Bias in Recommender Systems. In UMAP.","DOI":"10.1145\/3450613.3456821"},{"key":"e_1_3_2_1_7_1","volume-title":"Zhiyuan Cheng, Hubert Pham, and John Anderson.","author":"Beutel Alex","year":"2017","unstructured":"Alex Beutel , Ed H. Chi , Zhiyuan Cheng, Hubert Pham, and John Anderson. 2017 . Beyond Globally Optimal: Focused Learning for Improved Recommendations. In TheWebConf . Alex Beutel, Ed H. Chi, Zhiyuan Cheng, Hubert Pham, and John Anderson. 2017. Beyond Globally Optimal: Focused Learning for Improved Recommendations. In TheWebConf."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102387"},{"key":"e_1_3_2_1_9_1","volume-title":"Using Gini-style indices to evaluate the spatial patterns of health practitioners: theoretical considerations and an application based on Alberta data. Social science & medicine","author":"Brown M. Craig","year":"1994","unstructured":"M. Craig Brown . 1994. Using Gini-style indices to evaluate the spatial patterns of health practitioners: theoretical considerations and an application based on Alberta data. Social science & medicine ( 1994 ). M. Craig Brown. 1994. Using Gini-style indices to evaluate the spatial patterns of health practitioners: theoretical considerations and an application based on Alberta data. Social science & medicine (1994)."},{"key":"e_1_3_2_1_10_1","volume-title":"Yu Jeffrey Hu, and Michael D Smith","author":"Brynjolfsson Erik","year":"2006","unstructured":"Erik Brynjolfsson , Yu Jeffrey Hu, and Michael D Smith . 2006 . From niches to riches: Anatomy of the long tail. Sloan management review, Vol. 47 , 4 (2006), 67--71. Erik Brynjolfsson, Yu Jeffrey Hu, and Michael D Smith. 2006. From niches to riches: Anatomy of the long tail. Sloan management review, Vol. 47, 4 (2006), 67--71."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482461"},{"key":"e_1_3_2_1_12_1","volume-title":"Gerard De Melo, and Yongfeng Zhang","author":"Fu Zuohui","year":"2021","unstructured":"Zuohui Fu , Yikun Xian , Yaxin Zhu , Shuyuan Xu , Zelong Li , Gerard De Melo, and Yongfeng Zhang . 2021 b. HOOPS : Human-in-the-Loop Graph Reasoning for Conversational Recommendation. In SIGIR. Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard De Melo, and Yongfeng Zhang. 2021b. HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. In SIGIR."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.06.002"},{"key":"e_1_3_2_1_14_1","volume-title":"Willemsen","author":"Graus Mark P.","year":"2015","unstructured":"Mark P. Graus and Martijn C . Willemsen . 2015 . Improving the User Experience during Cold Start through Choice-Based Preference Elicitation. In RecSys . Mark P. Graus and Martijn C. Willemsen. 2015. Improving the User Experience during Cold Start through Choice-Based Preference Elicitation. In RecSys."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_16_1","volume-title":"What Recommenders Recommend: An Analysis of Recommendation Biases and Possible Countermeasures. User Modeling and User-Adapted Interaction","author":"Jannach Dietmar","year":"2015","unstructured":"Dietmar Jannach , Lukas Lerche , Iman Kamehkhosh , and Michael Jugovac . 2015. What Recommenders Recommend: An Analysis of Recommendation Biases and Possible Countermeasures. User Modeling and User-Adapted Interaction ( 2015 ). Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, and Michael Jugovac. 2015. What Recommenders Recommend: An Analysis of Recommendation Biases and Possible Countermeasures. User Modeling and User-Adapted Interaction (2015)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Dietmar Jannach Ahtsham Manzoor Wanling Cai and Li Chen. 2021. A survey on conversational recommender systems.  Dietmar Jannach Ahtsham Manzoor Wanling Cai and Li Chen. 2021. A survey on conversational recommender systems.","DOI":"10.1145\/3453154"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Hai Jiang Xin Qi and He Sun. 2014. Choice-based recommender systems: a unified approach to achieving relevancy and diversity. In Operations Research.  Hai Jiang Xin Qi and He Sun. 2014. Choice-based recommender systems: a unified approach to achieving relevancy and diversity. In Operations Research.","DOI":"10.1287\/opre.2014.1292"},{"key":"e_1_3_2_1_19_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_1_20_1","volume-title":"Estimation-action-reflection: Towards deep interaction between conversational and recommender systems. In WSDM.","author":"Lei Wenqiang","year":"2020","unstructured":"Wenqiang Lei , Xiangnan He , Yisong Miao , Qingyun Wu , Richang Hong , Min-Yen Kan , and Tat-Seng Chua . 2020 a. Estimation-action-reflection: Towards deep interaction between conversational and recommender systems. In WSDM. Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, and Tat-Seng Chua. 2020a. Estimation-action-reflection: Towards deep interaction between conversational and recommender systems. In WSDM."},{"key":"e_1_3_2_1_21_1","unstructured":"Wenqiang Lei Gangyi Zhang Xiangnan He Yisong Miao Xiang Wang Liang Chen and Tat-Seng Chua. 2020b. Interactive path reasoning on graph for conversational recommendation. In KDD.  Wenqiang Lei Gangyi Zhang Xiangnan He Yisong Miao Xiang Wang Liang Chen and Tat-Seng Chua. 2020b. Interactive path reasoning on graph for conversational recommendation. In KDD."},{"key":"e_1_3_2_1_22_1","unstructured":"Shijun Li Wenqiang Lei Qingyun Wu Xiangnan He Peng Jiang and Tat-Seng Chua. 2021. Seamlessly unifying attributes and items: Conversational recommendation for cold-start users. In TOIS.  Shijun Li Wenqiang Lei Qingyun Wu Xiangnan He Peng Jiang and Tat-Seng Chua. 2021. Seamlessly unifying attributes and items: Conversational recommendation for cold-start users. In TOIS."},{"key":"e_1_3_2_1_23_1","unstructured":"Zeming Liu Haifeng Wang Zheng-Yu Niu Hua Wu Wanxiang Che and Ting Liu. 2020. Towards Conversational Recommendation over Multi-Type Dialogs. In ACL.  Zeming Liu Haifeng Wang Zheng-Yu Niu Hua Wu Wanxiang Che and Ting Liu. 2020. Towards Conversational Recommendation over Multi-Type Dialogs. In ACL."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Yoon-Joo Park and Alexander Tuzhilin. 2008. The long tail of recommender systems and how to leverage it. In RecSys.  Yoon-Joo Park and Alexander Tuzhilin. 2008. The long tail of recommender systems and how to leverage it. In RecSys.","DOI":"10.1145\/1454008.1454012"},{"key":"e_1_3_2_1_25_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). 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_1_26_1","doi-asserted-by":"crossref","unstructured":"Guy Shani and Asela Gunawardana. 2011. Evaluating Recommendation Systems. Recommender Systems Handbook.  Guy Shani and Asela Gunawardana. 2011. Evaluating Recommendation Systems. Recommender Systems Handbook.","DOI":"10.1007\/978-0-387-85820-3_8"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043957"},{"key":"e_1_3_2_1_28_1","unstructured":"Yueming Sun and Yi Zhang. 2018. Conversational recommender system. In SIGIR.  Yueming Sun and Yi Zhang. 2018. Conversational recommender system. In SIGIR."},{"key":"e_1_3_2_1_29_1","volume-title":"H Chi, and Minmin Chen","author":"Wang Jianling","year":"2022","unstructured":"Jianling Wang , Ya Le , Bo Chang , Yuyan Wang , Ed H Chi, and Minmin Chen . 2022 . Learning to Augment for Casual User Recommendation. In TheWebConf . Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H Chi, and Minmin Chen. 2022. Learning to Augment for Casual User Recommendation. In TheWebConf."},{"key":"e_1_3_2_1_30_1","unstructured":"Tianxin Wei Fuli Feng Jiawei Chen Ziwei Wu Jinfeng Yi and Xiangnan He. 2021. Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system. In KDD.  Tianxin Wei Fuli Feng Jiawei Chen Ziwei Wu Jinfeng Yi and Xiangnan He. 2021. Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system. In KDD."},{"key":"e_1_3_2_1_31_1","volume-title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning","author":"Williams Ronald J","year":"1992","unstructured":"Ronald J Williams . 1992. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning , Vol. 8 , 3 ( 1992 ), 229--256. Ronald J Williams. 1992. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Machine learning, Vol. 8, 3 (1992), 229--256."},{"key":"e_1_3_2_1_32_1","unstructured":"Kerui Xu Jingxuan Yang Jun Xu Sheng Gao Jun Guo and Ji-Rong Wen. 2021a. Adapting User Preference to Online Feedback in Multi-Round Conversational Recommendation.  Kerui Xu Jingxuan Yang Jun Xu Sheng Gao Jun Guo and Ji-Rong Wen. 2021a. Adapting User Preference to Online Feedback in Multi-Round Conversational Recommendation."},{"key":"e_1_3_2_1_33_1","unstructured":"Kerui Xu Jingxuan Yang Jun Xu Sheng Gao Jun Guo and Ji-Rong Wen. 2021b. Adapting user preference to online feedback in multi-round conversational recommendation. In WSDM.  Kerui Xu Jingxuan Yang Jun Xu Sheng Gao Jun Guo and Ji-Rong Wen. 2021b. Adapting user preference to online feedback in multi-round conversational recommendation. In WSDM."},{"key":"e_1_3_2_1_34_1","volume-title":"Lui","author":"Zhang Xiaoying","year":"2020","unstructured":"Xiaoying Zhang , Hong Xie , Hang Li , and John C.S . Lui . 2020 . Conversational Contextual Bandit: Algorithm and Application . Xiaoying Zhang, Hong Xie, Hang Li, and John C.S. Lui. 2020. Conversational Contextual Bandit: Algorithm and Application."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Yongfeng Zhang Xu Chen Qingyao Ai Liu Yang and W. Bruce Croft. 2018. Towards Conversational Search and Recommendation: System Ask User Respond. In CIKM.  Yongfeng Zhang Xu Chen Qingyao Ai Liu Yang and W. Bruce Croft. 2018. Towards Conversational Search and Recommendation: System Ask User Respond. In CIKM.","DOI":"10.1145\/3269206.3271776"},{"key":"e_1_3_2_1_36_1","volume-title":"Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, and Jingsong Yu.","author":"Zhou Kun","year":"2020","unstructured":"Kun Zhou , Wayne Xin Zhao , Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, and Jingsong Yu. 2020 . Improving Conversational Recommender Systems via Knowledge Graph Based Semantic Fusion. In KDD. Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, and Jingsong Yu. 2020. Improving Conversational Recommender Systems via Knowledge Graph Based Semantic Fusion. In KDD."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Ziwei Zhu Yun He Xing Zhao and James Caverlee. 2021a. Popularity Bias in Dynamic Recommendation. In KDD.  Ziwei Zhu Yun He Xing Zhao and James Caverlee. 2021a. Popularity Bias in Dynamic Recommendation. In KDD.","DOI":"10.1145\/3447548.3467376"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Ziwei Zhu Yun He Xing Zhao Yin Zhang Jianling Wang and James Caverlee. 2021b. Popularity-Opportunity Bias in Collaborative Filtering. In WSDM.  Ziwei Zhu Yun He Xing Zhao Yin Zhang Jianling Wang and James Caverlee. 2021b. Popularity-Opportunity Bias in Collaborative Filtering. In WSDM.","DOI":"10.1145\/3437963.3441820"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Jie Zou Yifan Chen and Evangelos Kanoulas. 2020. Towards Question-Based Recommender Systems. In SIGIR.  Jie Zou Yifan Chen and Evangelos Kanoulas. 2020. Towards Question-Based Recommender Systems. In SIGIR.","DOI":"10.1145\/3397271.3401180"}],"event":{"name":"CIKM '22: The 31st ACM International Conference on Information and Knowledge Management","location":"Atlanta GA USA","acronym":"CIKM '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557423","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557423","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3511808.3557423","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:48:55Z","timestamp":1750182535000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3511808.3557423"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"references-count":39,"alternative-id":["10.1145\/3511808.3557423","10.1145\/3511808"],"URL":"https:\/\/doi.org\/10.1145\/3511808.3557423","relation":{},"subject":[],"published":{"date-parts":[[2022,10,17]]},"assertion":[{"value":"2022-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}