{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:45:58Z","timestamp":1783439158668,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T00:00:00Z","timestamp":1595635200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1841138,1939716"],"award-info":[{"award-number":["1841138,1939716"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,7,25]]},"DOI":"10.1145\/3397271.3401177","type":"proceedings-article","created":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T07:50:08Z","timestamp":1595663408000},"page":"449-458","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":93,"title":["Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems"],"prefix":"10.1145","author":[{"given":"Ziwei","family":"Zhu","sequence":"first","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianling","family":"Wang","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Caverlee","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"265","article-title":"Tensorflow: a system for large-scale machine learning","volume":"16","author":"Abadi Mart'in","year":"2016","unstructured":"Mart'in Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . Tensorflow: a system for large-scale machine learning .. In OSDI , Vol. 16. 265 -- 283 . Mart'in Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et almbox. 2016. Tensorflow: a system for large-scale machine learning.. In OSDI, Vol. 16. 265--283.","journal-title":"OSDI"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109912"},{"key":"e_1_3_2_1_3_1","volume-title":"Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. In The Thirty-Second International Flairs Conference.","author":"Abdollahpouri Himan","year":"2019","unstructured":"Himan Abdollahpouri , Robin Burke , and Bamshad Mobasher . 2019 . Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. In The Thirty-Second International Flairs Conference. Himan Abdollahpouri, Robin Burke, and Bamshad Mobasher. 2019. Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. In The Thirty-Second International Flairs Conference."},{"key":"e_1_3_2_1_4_1","volume-title":"H Chi, et almbox","author":"Beutel Alex","year":"2019","unstructured":"Alex Beutel , Jilin Chen , Tulsee Doshi , Hai Qian , Li Wei , Yi Wu , Lukasz Heldt , Zhe Zhao , Lichan Hong , Ed H Chi, et almbox . 2019 . Fairness in Recommendation Ranking through Pairwise Comparisons . arXiv preprint arXiv:1903.00780 (2019). Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H Chi, et almbox. 2019. Fairness in Recommendation Ranking through Pairwise Comparisons. arXiv preprint arXiv:1903.00780 (2019)."},{"key":"e_1_3_2_1_5_1","volume-title":"H Chi","author":"Beutel Alex","year":"2017","unstructured":"Alex Beutel , Jilin Chen , Zhe Zhao , and Ed H Chi . 2017 a. Data de cisions and theoretical implications when adversarially learning fair representations. arXiv preprint arXiv:1707.00075 (2017). Alex Beutel, Jilin Chen, Zhe Zhao, and Ed H Chi. 2017a. Data decisions and theoretical implications when adversarially learning fair representations. arXiv preprint arXiv:1707.00075 (2017)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052713"},{"key":"e_1_3_2_1_7_1","volume-title":"Balanced Neighborhoods for Multi-sided Fairness in Recommendation. In Conference on Fairness, Accountability and Transparency. 202--214","author":"Burke Robin","year":"2018","unstructured":"Robin Burke , Nasim Sonboli , and Aldo Ordonez-Gauger . 2018 . Balanced Neighborhoods for Multi-sided Fairness in Recommendation. In Conference on Fairness, Accountability and Transparency. 202--214 . Robin Burke, Nasim Sonboli, and Aldo Ordonez-Gauger. 2018. Balanced Neighborhoods for Multi-sided Fairness in Recommendation. In Conference on Fairness, Accountability and Transparency. 202--214."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19)","author":"Geyik Sahin Cem","unstructured":"Sahin Cem Geyik , Stuart Ambler , and Krishnaram Kenthapadi . [n.d.]. Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search . In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19) . Sahin Cem Geyik, Stuart Ambler, and Krishnaram Kenthapadi. [n.d.]. Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19)."},{"key":"e_1_3_2_1_9_1","volume-title":"et almbox","author":"Hardt Moritz","year":"2016","unstructured":"Moritz Hardt , Eric Price , Nati Srebro , et almbox . 2016 . Equality of opportunity in supervised learning. In Advances in neural information processing systems. Moritz Hardt, Eric Price, Nati Srebro, et almbox. 2016. Equality of opportunity in supervised learning. In Advances in neural information processing systems."},{"key":"e_1_3_2_1_10_1","volume-title":"The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis)","author":"Maxwell Harper F","year":"2016","unstructured":"F Maxwell Harper and Joseph A Konstan . 2016. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) ( 2016 ). F Maxwell Harper and Joseph A Konstan. 2016. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) (2016)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3015812.3015834"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209981"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_15_1","volume-title":"Novelty and diversity in top-n recommendation--analysis and evaluation. ACM Transactions on Internet Technology (TOIT)","author":"Hurley Neil","year":"2011","unstructured":"Neil Hurley and Mi Zhang . 2011. Novelty and diversity in top-n recommendation--analysis and evaluation. ACM Transactions on Internet Technology (TOIT) ( 2011 ). Neil Hurley and Mi Zhang. 2011. Novelty and diversity in top-n recommendation--analysis and evaluation. ACM Transactions on Internet Technology (TOIT) (2011)."},{"key":"e_1_3_2_1_16_1","unstructured":"Toshihiro Kamishima and Shotaro Akaho. 2017. Considerations on Recommendation Independence for a Find-Good-Items Task. (2017).  Toshihiro Kamishima and Shotaro Akaho. 2017. Considerations on Recommendation Independence for a Find-Good-Items Task. (2017)."},{"key":"e_1_3_2_1_17_1","unstructured":"T Kamishima S Akaho H Asoh and J Sakuma. 2013. Efficiency Improvement of Neutrality-Enhanced Recommendation.. In Decisions@RecSys.  T Kamishima S Akaho H Asoh and J Sakuma. 2013. Efficiency Improvement of Neutrality-Enhanced Recommendation.. In Decisions@RecSys."},{"key":"e_1_3_2_1_18_1","volume-title":"Recommendation Independence. In Conference on Fairness, Accountability and Transparency.","author":"Kamishima Toshihiro","year":"2018","unstructured":"Toshihiro Kamishima , S Akaho , H Asoh , and J Sakuma . 2018 . Recommendation Independence. In Conference on Fairness, Accountability and Transparency. Toshihiro Kamishima, S Akaho, H Asoh, and J Sakuma. 2018. Recommendation Independence. In Conference on Fairness, Accountability and Transparency."},{"key":"e_1_3_2_1_19_1","volume-title":"2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).","author":"Kamishima T","unstructured":"T Kamishima , S Akaho , H Asoh , and I Sato . [n.d.]. Model-based approaches for independence-enhanced recommendation . In 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). T Kamishima, S Akaho, H Asoh, and I Sato. [n.d.]. Model-based approaches for independence-enhanced recommendation. In 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)."},{"key":"e_1_3_2_1_20_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269264"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/1364846.1364849"},{"key":"e_1_3_2_1_24_1","unstructured":"Gilles Louppe Michael Kagan and Kyle Cranmer. 2017. Learning to pivot with adversarial networks. In Advances in Neural Information Processing Systems.  Gilles Louppe Michael Kagan and Kyle Cranmer. 2017. Learning to pivot with adversarial networks. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568012"},{"key":"e_1_3_2_1_27_1","volume-title":"Mohammad D Esfahani, and H Ahmadi.","author":"Nilashi M","year":"2016","unstructured":"M Nilashi , D Jannach , O bin Ibrahim , Mohammad D Esfahani, and H Ahmadi. 2016 . Recommendation quality, transparency, and website quality for trust-building in recommendation agents. Electronic Commerce Research and Applications ( 2016). M Nilashi, D Jannach, O bin Ibrahim, Mohammad D Esfahani, and H Ahmadi. 2016. Recommendation quality, transparency, and website quality for trust-building in recommendation agents. Electronic Commerce Research and Applications (2016)."},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press.","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2009 . BPR: Bayesian personalized ranking from implicit feedback . In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240372"},{"key":"e_1_3_2_1_30_1","unstructured":"Sujith Xavier. 2016. Learning from below: Theorising Global Governance through Ethnographies and Critical Reflections from the Global South. Windsor YB Access Just. (2016).  Sujith Xavier. 2016. Learning from below: Theorising Global Governance through Ethnographies and Critical Reflections from the Global South. Windsor YB Access Just. (2016)."},{"key":"e_1_3_2_1_31_1","unstructured":"Sirui Yao and Bert Huang. 2017. Beyond parity: Fairness objectives for collaborative filtering. In Advances in Neural Information Processing Systems. 2921--2930.  Sirui Yao and Bert Huang. 2017. Beyond parity: Fairness objectives for collaborative filtering. In Advances in Neural Information Processing Systems. 2921--2930."},{"key":"e_1_3_2_1_32_1","volume-title":"Mitigating unwanted biases with adversarial learning. arXiv preprint arXiv:1801.07593","author":"Zhang Brian Hu","year":"2018","unstructured":"Brian Hu Zhang , Blake Lemoine , and Margaret Mitchell . 2018. Mitigating unwanted biases with adversarial learning. arXiv preprint arXiv:1801.07593 ( 2018 ). Brian Hu Zhang, Blake Lemoine, and Margaret Mitchell. 2018. Mitigating unwanted biases with adversarial learning. arXiv preprint arXiv:1801.07593 (2018)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271795"}],"event":{"name":"SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval","location":"Virtual Event China","acronym":"SIGIR '20","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401177","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401177","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3397271.3401177","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:43Z","timestamp":1750200103000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3397271.3401177"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,25]]},"references-count":33,"alternative-id":["10.1145\/3397271.3401177","10.1145\/3397271"],"URL":"https:\/\/doi.org\/10.1145\/3397271.3401177","relation":{},"subject":[],"published":{"date-parts":[[2020,7,25]]},"assertion":[{"value":"2020-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}