{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T13:40:06Z","timestamp":1762522806455,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":57,"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"}],"funder":[{"name":"This paper is supported by the National Key R&D Program of China under grant 2022YFB3104700, and partially supported by the National Natural Science Foundation of China (NSFC) under grant 61672449 and 62272437.","award":["2022YFB3104700,61672449,62272437"],"award-info":[{"award-number":["2022YFB3104700,61672449,62272437"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,2,27]]},"DOI":"10.1145\/3539597.3570461","type":"proceedings-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T23:27:00Z","timestamp":1677108420000},"page":"240-248","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A Causal View for Item-level Effect of Recommendation on User Preference"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0933-1661","authenticated-orcid":false,"given":"Wei","family":"Cai","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5828-9842","authenticated-orcid":false,"given":"Fuli","family":"Feng","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7570-5756","authenticated-orcid":false,"given":"Qifan","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta AI, Menlo Park, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2642-4760","authenticated-orcid":false,"given":"Tian","family":"Yang","sequence":"additional","affiliation":[{"name":"Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7981-9873","authenticated-orcid":false,"given":"Zhenguang","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8758-7948","authenticated-orcid":false,"given":"Congfu","family":"Xu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_2_1_1","DOI":"10.3982\/ECTA11293"},{"key":"e_1_3_2_2_2_1","volume-title":"Multi-sided exposure bias in recommendation. arXiv preprint arXiv:2006.15772","author":"Abdollahpouri Himan","year":"2020","unstructured":"Himan Abdollahpouri and Masoud Mansoury. 2020. Multi-sided exposure bias in recommendation. arXiv preprint arXiv:2006.15772 (2020)."},{"key":"e_1_3_2_2_3_1","volume-title":"Henry Jacob Wheeler-Mackta, and Jeremy R Campo","author":"Allen David Paul","year":"2017","unstructured":"David Paul Allen, Henry Jacob Wheeler-Mackta, and Jeremy R Campo. 2017. The effects of music recommendation engines on the filter bubble phenomenon. Interactive Qualifying Projects (2017)."},{"key":"e_1_3_2_2_4_1","volume-title":"Science","volume":"348","author":"Bakshy Eytan","year":"2015","unstructured":"Eytan Bakshy, Solomon Messing, and Lada A Adamic. 2015. Exposure to ideologically diverse news and opinion on Facebook. Science, Vol. 348, 6239 (2015), 1130--1132."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_5_1","DOI":"10.1007\/s10791-017-9312-z"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_6_1","DOI":"10.1509\/jmkr.45.1.77"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_7_1","DOI":"10.1007\/978-3-030-22219-2_33"},{"key":"e_1_3_2_2_8_1","volume-title":"An analysis of the interaction between intelligent software agents and human users. Minds and machines","author":"Burr Christopher","year":"2018","unstructured":"Christopher Burr, Nello Cristianini, and James Ladyman. 2018. An analysis of the interaction between intelligent software agents and human users. Minds and machines, Vol. 28, 4 (2018), 735--774."},{"key":"e_1_3_2_2_9_1","volume-title":"How algorithms can learn to discredit the media. Medium.","author":"Chaslot Guillaume","year":"2018","unstructured":"Guillaume Chaslot. 2018. How algorithms can learn to discredit the media. Medium. Retrieved from https:\/\/medium. com\/@ guillaumechaslot\/how-algorithms-can-learn-to-discredit-the-media-d1360157c4fa (2018)."},{"key":"e_1_3_2_2_10_1","volume-title":"Bias and debias in recommender system: A survey and future directions. arXiv preprint arXiv:2010.03240","author":"Chen Jiawei","year":"2020","unstructured":"Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2020. Bias and debias in recommender system: A survey and future directions. arXiv preprint arXiv:2010.03240 (2020)."},{"key":"e_1_3_2_2_11_1","volume-title":"profiling algorithms and a world of ambient intelligence. Ethics and information technology","author":"Vries Katja De","year":"2010","unstructured":"Katja De Vries. 2010. Identity, profiling algorithms and a world of ambient intelligence. Ethics and information technology, Vol. 12, 1 (2010), 71--85."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_12_1","DOI":"10.1145\/1454008.1454054"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_13_1","DOI":"10.1145\/3534678.3539240"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_14_1","DOI":"10.1145\/3397271.3401431"},{"volume-title":"Causal inference in statistics: A primer","author":"Glymour Madelyn","unstructured":"Madelyn Glymour, Judea Pearl, and Nicholas P Jewell. 2016. Causal inference in statistics: A primer. John Wiley & Sons.","key":"e_1_3_2_2_15_1"},{"unstructured":"Miguel A Hern\u00e1n and James M Robins. 2010. Causal inference.","key":"e_1_3_2_2_16_1"},{"key":"e_1_3_2_2_17_1","volume-title":"International Conference on Machine Learning. 1512--1520","author":"Hern\u00e1ndez-Lobato Jos\u00e9 Miguel","year":"2014","unstructured":"Jos\u00e9 Miguel Hern\u00e1ndez-Lobato, Neil Houlsby, and Zoubin Ghahramani. 2014. Probabilistic matrix factorization with non-random missing data. In International Conference on Machine Learning. 1512--1520."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_18_1","DOI":"10.1080\/19312458.2018.1479843"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_19_1","DOI":"10.1080\/01621459.1986.10478354"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_20_1","DOI":"10.1287\/mnsc.2013.1808"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_21_1","DOI":"10.1162\/003465304323023651"},{"volume-title":"Causal inference in statistics, social, and biomedical sciences","author":"Imbens Guido W","unstructured":"Guido W Imbens and Donald B Rubin. 2015. Causal inference in statistics, social, and biomedical sciences. Cambridge University Press.","key":"e_1_3_2_2_22_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_23_1","DOI":"10.1145\/3289600.3290958"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_24_1","DOI":"10.1145\/3306618.3314288"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_25_1","DOI":"10.1145\/3447548.3467298"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_26_1","DOI":"10.1073\/pnas.2009384117"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_27_1","DOI":"10.1007\/978-3-319-18609-2_10"},{"unstructured":"Dokyun Lee and Kartik Hosanagar. 2014. Impact of recommender systems on sales volume and diversity. (2014).","key":"e_1_3_2_2_28_1"},{"key":"e_1_3_2_2_29_1","volume-title":"Workshop at UAI. AUAI.","author":"Liang Dawen","year":"2016","unstructured":"Dawen Liang, Laurent Charlin, and David M Blei. 2016. Causal inference for recommendation. In Causation: Foundation to Application, Workshop at UAI. AUAI."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_30_1","DOI":"10.1145\/3178876.3186150"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_31_1","DOI":"10.1145\/3383313.3412237"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_32_1","DOI":"10.1177\/0193841X05275596"},{"key":"e_1_3_2_2_33_1","volume-title":"Collaborative filtering and the missing at random assumption. arXiv preprint arXiv:1206.5267","author":"Marlin Benjamin","year":"2012","unstructured":"Benjamin Marlin, Richard S Zemel, Sam Roweis, and Malcolm Slaney. 2012. Collaborative filtering and the missing at random assumption. arXiv preprint arXiv:1206.5267 (2012)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_34_1","DOI":"10.1007\/s00146-020-00950-y"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_35_1","DOI":"10.1145\/2566486.2568012"},{"volume-title":"The filter bubble: What the Internet is hiding from you","author":"Pariser Eli","unstructured":"Eli Pariser. 2011. The filter bubble: What the Internet is hiding from you. Penguin UK.","key":"e_1_3_2_2_36_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_37_1","DOI":"10.1145\/3340531.3412774"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_38_1","DOI":"10.1080\/01621459.1987.10478441"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_39_1","DOI":"10.1093\/biomet\/70.1.41"},{"key":"e_1_3_2_2_40_1","volume-title":"Matching to remove bias in observational studies. Biometrics","author":"Rubin Donald B","year":"1973","unstructured":"Donald B Rubin. 1973. Matching to remove bias in observational studies. Biometrics (1973), 159--183."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_41_1","DOI":"10.1145\/3397271.3401114"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_42_1","DOI":"10.1145\/2930238.2930259"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_43_1","DOI":"10.1145\/3383313.3412261"},{"key":"e_1_3_2_2_44_1","volume-title":"international conference on machine learning. 1670--1679","author":"Schnabel Tobias","year":"2016","unstructured":"Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, and Thorsten Joachims. 2016. Recommendations as treatments: Debiasing learning and evaluation. In international conference on machine learning. 1670--1679."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_45_1","DOI":"10.1145\/2043932.2043957"},{"unstructured":"Harald Steck and Yu Xin. 2010. A Generalized Probabilistic Framework and its Variants for Training Top-k Recommender System.. In PRSAT@ RecSys. 35--42.","key":"e_1_3_2_2_46_1"},{"unstructured":"Cass Sunstein and Cass R Sunstein. 2018. # Republic. Princeton university press.","key":"e_1_3_2_2_47_1"},{"volume-title":"Going to extremes: How like minds unite and divide","author":"Sunstein Cass R","unstructured":"Cass R Sunstein. 2009. Going to extremes: How like minds unite and divide. Oxford University Press.","key":"e_1_3_2_2_48_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_49_1","DOI":"10.5555\/2789272.2886805"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_50_1","DOI":"10.1126\/science.aat5991"},{"doi-asserted-by":"crossref","unstructured":"Wenjie Wang Fuli Feng Xiangnan He Xiang Wang and Tat-Seng Chua. 2021a. Deconfounded recommendation for alleviating bias amplification. In KDD. 1717--1725.","key":"e_1_3_2_2_51_1","DOI":"10.1145\/3447548.3467249"},{"doi-asserted-by":"crossref","unstructured":"Wenjie Wang Fuli Feng Xiangnan He Hanwang Zhang and Tat-Seng Chua. 2021b. Clicks can be cheating: Counterfactual recommendation for mitigating clickbait issue. In SIGIR. 1288--1297.","key":"e_1_3_2_2_52_1","DOI":"10.1145\/3404835.3462962"},{"key":"e_1_3_2_2_53_1","volume-title":"International Conference on Machine Learning. 6638--6647","author":"Wang Xiaojie","year":"2019","unstructured":"Xiaojie Wang, Rui Zhang, Yu Sun, and Jianzhong Qi. 2019. Doubly robust joint learning for recommendation on data missing not at random. In International Conference on Machine Learning. 6638--6647."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_54_1","DOI":"10.1093\/biomet\/29.3-4.350"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_55_1","DOI":"10.18653\/v1\/2020.acl-main.331"},{"key":"e_1_3_2_2_56_1","volume-title":"CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. arXiv preprint arXiv:2201.00689","author":"Yao Di","year":"2021","unstructured":"Di Yao, Chang Gong, Lei Zhang, Sheng Chen, and Jingping Bi. 2021. CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. arXiv preprint arXiv:2201.00689 (2021)."},{"key":"e_1_3_2_2_57_1","volume-title":"A survey on causal inference. arXiv preprint arXiv:2002.02770","author":"Yao Liuyi","year":"2020","unstructured":"Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, and Aidong Zhang. 2020. A survey on causal inference. arXiv preprint arXiv:2002.02770 (2020)."}],"event":{"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"],"acronym":"WSDM '23","name":"WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining","location":"Singapore Singapore"},"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\/3539597.3570461","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539597.3570461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:15Z","timestamp":1750186935000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570461"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,27]]},"references-count":57,"alternative-id":["10.1145\/3539597.3570461","10.1145\/3539597"],"URL":"https:\/\/doi.org\/10.1145\/3539597.3570461","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"}}]}}