{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T23:28:41Z","timestamp":1773098921364,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,1,27]],"date-time":"2020-01-27T00:00:00Z","timestamp":1580083200000},"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":["DGE 175281"],"award-info":[{"award-number":["DGE 175281"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007297","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-17-1-2191, N00014-17-1-2401, and N00014-18-1-2833"],"award-info":[{"award-number":["N00014-17-1-2191, N00014-17-1-2401, and N00014-18-1-2833"]}],"id":[{"id":"10.13039\/100007297","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["FA8750-18-C-0101, W911NF-16-1-0552"],"award-info":[{"award-number":["FA8750-18-C-0101, W911NF-16-1-0552"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,1,27]]},"DOI":"10.1145\/3351095.3372866","type":"proceedings-article","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T13:14:18Z","timestamp":1605705258000},"page":"436-445","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":27,"title":["Recommendations and user agency"],"prefix":"10.1145","author":[{"given":"Sarah","family":"Dean","sequence":"first","affiliation":[{"name":"UC Berkeley"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarah","family":"Rich","sequence":"additional","affiliation":[{"name":"Canopy Crest"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Recht","sequence":"additional","affiliation":[{"name":"UC Berkeley"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,1,27]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-46430-1_6"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"crossref","unstructured":"Krisztian Balog Filip Radlinski and Shushan Arakelyan. Transparent scrutable and explainable user models for personalized recommendation. 2019.  Krisztian Balog Filip Radlinski and Shushan Arakelyan. Transparent scrutable and explainable user models for personalized recommendation. 2019.","DOI":"10.1145\/3331184.3331211"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2017.8263977"},{"key":"e_1_3_2_2_4_1","unstructured":"Sampoorna Biswas Laks VS Lakshmanan and Senjuti Basu Ray. Combating the cold start user problem in model based collaborative filtering. arXiv preprint arXiv:1703.00397 2017.  Sampoorna Biswas Laks VS Lakshmanan and Senjuti Basu Ray. Combating the cold start user problem in model based collaborative filtering. arXiv preprint arXiv:1703.00397 2017."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240360"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-34487-9_40"},{"key":"e_1_3_2_2_7_1","volume-title":"Medium","author":"Bridle James","year":"2017"},{"key":"e_1_3_2_2_8_1","unstructured":"Alexandra Burashnikova Yury Maximov and Massih-Reza Amini. Sequential learning over implicit feedback for robust large-scale recommender systems. arXiv preprint arXiv:1902.08495 2019.  Alexandra Burashnikova Yury Maximov and Massih-Reza Amini. Sequential learning over implicit feedback for robust large-scale recommender systems. arXiv preprint arXiv:1902.08495 2019."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Pablo Castells Sa\u00fal Vargas and Jun Wang. Novelty and diversity metrics for recommender systems: choice discovery and relevance. 2011.  Pablo Castells Sa\u00fal Vargas and Jun Wang. Novelty and diversity metrics for recommender systems: choice discovery and relevance. 2011.","DOI":"10.1145\/2043932.2044019"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2009.06.018"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Maurizio Ferrari Dacrema Paolo Cremonesi and Dietmar Jannach. Are we really making much progress? a worrying analysis of recent neural recommendation approaches. arXiv preprint arXiv:1907.06902 2019.  Maurizio Ferrari Dacrema Paolo Cremonesi and Dietmar Jannach. Are we really making much progress? a worrying analysis of recent neural recommendation approaches. arXiv preprint arXiv:1907.06902 2019.","DOI":"10.1145\/3298689.3347058"},{"key":"e_1_3_2_2_13_1","first-page":"172","volume-title":"Conference on Fairness, Accountability and Transparency","author":"Ekstrand Michael D","year":"2018"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240373"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Seth Flaxman Sharad Goel and Justin M Rao. Filter bubbles echo chambers and online news consumption. Public opinion quarterly 80(S1):298--320 2016.  Seth Flaxman Sharad Goel and Justin M Rao. Filter bubbles echo chambers and online news consumption. Public opinion quarterly 80(S1):298--320 2016.","DOI":"10.1093\/poq\/nfw006"},{"key":"e_1_3_2_2_16_1","unstructured":"Nicolas Gillis. The why and how of nonnegative matrix factorization. Regularization Optimization Kernels and Support Vector Machines 12(257) 2014.  Nicolas Gillis. The why and how of nonnegative matrix factorization. Regularization Optimization Kernels and Support Vector Machines 12(257) 2014."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/138859.138867"},{"key":"e_1_3_2_2_18_1","unstructured":"LLC Gurobi Optimization. Gurobi optimizer reference manual 2019. URL http:\/\/www.gurobi.com.  LLC Gurobi Optimization. Gurobi optimizer reference manual 2019. URL http:\/\/www.gurobi.com."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2840728.2840730"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"F Maxwell Harper and Joseph A Konstan. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5(4):19 2016.  F Maxwell Harper and Joseph A Konstan. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5(4):19 2016.","DOI":"10.1145\/2827872"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2800179"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911489"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"e_1_3_2_2_24_1","first-page":"1297","volume-title":"Advances in neural information processing systems","author":"Kawale Jaya","year":"2015"},{"key":"e_1_3_2_2_25_1","unstructured":"Yehuda Koren. The bellkor solution to the netflix grand prize. Netflix prize documentation 81(2009):1--10 2009.  Yehuda Koren. The bellkor solution to the netflix grand prize. Netflix prize documentation 81(2009):1--10 2009."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren Robert Bell and Chris Volinsky. Matrix factorization techniques for recommender systems. Computer (8):30--37 2009.  Yehuda Koren Robert Bell and Chris Volinsky. Matrix factorization techniques for recommender systems. Computer (8):30--37 2009.","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_27_1","unstructured":"Yu Lei and Wenjie Li. When collaborative filtering meets reinforcement learning. arXiv preprint arXiv:1902.00715 2019.  Yu Lei and Wenjie Li. When collaborative filtering meets reinforcement learning. arXiv preprint arXiv:1902.00715 2019."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27926-8_29"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2695664.2695820"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Smitha Milli John Miller Anca D Dragan and Moritz Hardt. The social cost of strategic classification. arXiv preprint arXiv:1808.08460 2018.  Smitha Milli John Miller Anca D Dragan and Moritz Hardt. The social cost of strategic classification. arXiv preprint arXiv:1808.08460 2018.","DOI":"10.1145\/3287560.3287576"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568012"},{"key":"e_1_3_2_2_32_1","article-title":"How youtube drives people to the internet\u00e2\u0102Źs darkest corners","author":"Nicas Jack","year":"2018","journal-title":"The Wall Street Journal"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.134"},{"key":"e_1_3_2_2_34_1","volume-title":"Springer Science & Business Media","author":"Osher Stanley","year":"2006"},{"key":"e_1_3_2_2_35_1","first-page":"5","volume-title":"Proceedings of KDD cup and workshop","volume":"2007","author":"Paterek Arkadiusz","year":"2007"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.14778\/2535573.2488340"},{"key":"e_1_3_2_2_38_1","unstructured":"Steffen Rendle Li Zhang and Yehuda Koren. On the difficulty of evaluating baselines: A study on recommender systems. arXiv preprint arXiv:1905.01395 2019.  Steffen Rendle Li Zhang and Yehuda Koren. On the difficulty of evaluating baselines: A study on recommender systems. arXiv preprint arXiv:1905.01395 2019."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3_1"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Chris Russell. Efficient search for diverse coherent explanations. arXiv preprint arXiv:1901.04909 2019.  Chris Russell. Efficient search for diverse coherent explanations. arXiv preprint arXiv:1901.04909 2019.","DOI":"10.1145\/3287560.3287569"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/564376.564421"},{"key":"e_1_3_2_2_42_1","unstructured":"Joan E. Solsman. Youtube's ai is the puppet master over most of what you watch. CNET. URL https:\/\/www.cnet.com\/news\/youtube-ces-2018-neal-mohan\/.  Joan E. Solsman. Youtube's ai is the puppet master over most of what you watch. CNET. URL https:\/\/www.cnet.com\/news\/youtube-ces-2018-neal-mohan\/."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043957"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240372"},{"key":"e_1_3_2_2_45_1","unstructured":"Nava Tintarev. Presenting diversity aware recommendations: Making challenging news acceptable. 2017.  Nava Tintarev. Presenting diversity aware recommendations: Making challenging news acceptable. 2017."},{"key":"e_1_3_2_2_46_1","volume-title":"The New York Times","author":"Tufekci Zeynep","year":"2018"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287566"},{"issue":"2","key":"e_1_3_2_2_48_1","first-page":"2017","article-title":"Counterfactual explanations without opening the black box: Automated decisions and the gdpr","volume":"31","author":"Wachter Sandra","year":"2018","journal-title":"Harvard Journal of Law & Technology"},{"key":"e_1_3_2_2_49_1","unstructured":"B. Webb. Netflix update: Try this at home. 2006. URL http:\/\/sifter.org\/simon\/journal\/20061211.html 2006.  B. Webb. Netflix update: Try this at home. 2006. URL http:\/\/sifter.org\/simon\/journal\/20061211.html 2006."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080685"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313540"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68880-8_32"}],"event":{"name":"FAT* '20: Conference on Fairness, Accountability, and Transparency","location":"Barcelona Spain","acronym":"FAT* '20","sponsor":["ACM Association for Computing Machinery"]},"container-title":["Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3351095.3372866","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3351095.3372866","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3351095.3372866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:22Z","timestamp":1750200082000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3351095.3372866"}},"subtitle":["the reachability of collaboratively-filtered information"],"short-title":[],"issued":{"date-parts":[[2020,1,27]]},"references-count":52,"alternative-id":["10.1145\/3351095.3372866","10.1145\/3351095"],"URL":"https:\/\/doi.org\/10.1145\/3351095.3372866","relation":{},"subject":[],"published":{"date-parts":[[2020,1,27]]},"assertion":[{"value":"2020-01-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}