{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T21:53:05Z","timestamp":1792446785424,"version":"4.5.0"},"publisher-location":"New York, NY, USA","reference-count":65,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,3]]},"DOI":"10.1145\/3442188.3445944","type":"proceedings-article","created":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T01:45:48Z","timestamp":1614217548000},"page":"873-884","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":34,"title":["When the Umpire is also a Player"],"prefix":"10.1145","author":[{"given":"Abhisek","family":"Dash","sequence":"first","affiliation":[{"name":"Indian Institute of Technology, Kharagpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abhijnan","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saptarshi","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Kharagpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Animesh","family":"Mukherjee","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Kharagpur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishna P.","family":"Gummadi","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Software, Systems, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359301"},{"key":"e_1_3_2_1_2_1","volume-title":"Online Platforms and Market Power, Part 2: Innovation and Entrepreneurship. https:\/\/docs","year":"2019","unstructured":"Amazon. 2019. Online Platforms and Market Power, Part 2: Innovation and Entrepreneurship. https:\/\/docs.house.gov\/meetings\/JU\/JU05\/20190716\/109793\/HHRG-116-JU05-20190716-SD038.pdf. (2019)."},{"key":"e_1_3_2_1_3_1","unstructured":"Jason Aten. 2019. Here's How Amazon Gets You to Buy Its Own Products. And Why That's Bad News for Third-Party Sellers. https:\/\/www.inc.com\/jason-aten\/heres-how-amazon-gets-you-to-buy-its-own-products-why-thats-bad-news-for-third-party-sellers.html. (2019)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Asia J Biega Krishna P Gummadi and Gerhard Weikum. 2018. Equity of attention: Amortizing individual fairness in rankings. In ACM SIGIR.","DOI":"10.1145\/3209978.3210063"},{"key":"e_1_3_2_1_5_1","volume-title":"Snowball sampling: Problems and techniques of chain referral sampling. Sociological methods & research","author":"Biernacki Patrick","year":"1981","unstructured":"Patrick Biernacki and Dan Waldorf. 1981. Snowball sampling: Problems and techniques of chain referral sampling. Sociological methods & research (1981)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Avrim Blum T-H. Hubert Chan and Mugizi Robert Rwebangira. 2006. A Random-Surfer Web-Graph Model. In ANALCO.","DOI":"10.1137\/1.9781611972962.8"},{"key":"e_1_3_2_1_7_1","volume-title":"The Anatomy of a Large-Scale Hypertextual Web Search Engine. COMPUTER NETWORKS AND ISDN SYSTEMS","author":"Brin Sergey","year":"1998","unstructured":"Sergey Brin and Lawrence Page. 1998. The Anatomy of a Large-Scale Hypertextual Web Search Engine. COMPUTER NETWORKS AND ISDN SYSTEMS (1998)."},{"key":"e_1_3_2_1_8_1","unstructured":"Press Information Bureau. 2018. Review of policy on Foreign Direct Investment (FDI) in e-commerce. http:\/\/www.pib.nic.in\/PressReleseDetail.aspx?PRID=1557380. (2018)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Roc\u00edo Ca\u00f1amares and Pablo Castells. 2018. Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems. (2018).","DOI":"10.1145\/3209978.3210014"},{"key":"e_1_3_2_1_10_1","volume-title":"Comprehensive survey on distance\/similarity measures between probability density functions. Citeseer City","author":"Cha Sung-Hyuk","year":"2007","unstructured":"Sung-Hyuk Cha. 2007. Comprehensive survey on distance\/similarity measures between probability density functions. Citeseer City (2007)."},{"key":"e_1_3_2_1_11_1","volume-title":"On quantifying knowledge segregation in society. arXiv preprint arXiv:1708.00670","author":"Chakraborty Abhijnan","year":"2017","unstructured":"Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, and Krishna P Gummadi. 2017. On quantifying knowledge segregation in society. arXiv preprint arXiv:1708.00670 (2017)."},{"key":"e_1_3_2_1_12_1","volume-title":"Computation and Journalism Symposium.","author":"Chakraborty Abhijnan","year":"2015","unstructured":"Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, and Krishna P Gummadi. 2015. Can trending news stories create coverage bias? on the impact of high content churn in online news media. In Computation and Journalism Symposium."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Abhijnan Chakraborty Johnnatan Messias Fabricio Benevenuto Saptarshi Ghosh Niloy Ganguly and Krishna P Gummadi. 2017. Who makes trends? understanding demographic biases in crowdsourced recommendations. In AAAI ICWSM.","DOI":"10.1609\/icwsm.v11i1.14894"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Le Chen Alan Mislove and Christo Wilson. 2016. An empirical analysis of algorithmic pricing on amazon marketplace. In WWW.","DOI":"10.1145\/2872427.2883089"},{"key":"e_1_3_2_1_15_1","unstructured":"J Clement. 2020. Retail e-commerce sales worldwide from 2014 to 2023. https:\/\/www.statista.com\/statistics\/379046\/worldwide-retail-e-commerce-sales\/. (2020)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Nick Craswell Onno Zoeter Michael Taylor and Bill Ramsey. 2008. An experimental comparison of click position-bias models. In ACM WSDM.","DOI":"10.1145\/1341531.1341545"},{"key":"e_1_3_2_1_17_1","volume-title":"A network-centric framework for auditing recommendation systems","author":"Dash Abhisek","unstructured":"Abhisek Dash, Animesh Mukherjee, and Saptarshi Ghosh. 2019. A network-centric framework for auditing recommendation systems. In IEEE INFOCOM."},{"key":"e_1_3_2_1_18_1","volume-title":"Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. PACM HCI (CSCW) 3","author":"Dash Abhisek","year":"2019","unstructured":"Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, and Abhijnan Chakraborty. 2019. Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. PACM HCI (CSCW) 3 (2019)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Sarah Dean Sarah Rich and Benjamin Recht. 2020. Recommendations and user agency: the reachability of collaboratively-filtered information. In ACM FAccT.","DOI":"10.1145\/3351095.3372866"},{"key":"e_1_3_2_1_20_1","volume-title":"FaiRecSys: mitigating algorithmic bias in recommender systems","author":"Edizel Bora","year":"2019","unstructured":"Bora Edizel, Francesco Bonchi, Sara Hajian, Andr\u00e9 Panisson, and Tamir Tassa. 2019. FaiRecSys: mitigating algorithmic bias in recommender systems. Springer International Journal of Data Science and Analytics (2019)."},{"key":"e_1_3_2_1_21_1","volume-title":"The Amazon Monopoly: Is Amazon's Private Label Business the Tipping Point? Munich Personal RePEc Archive","author":"Faherty Emily","year":"2017","unstructured":"Emily Faherty, Kevin Huang, and Robert Land. 2017. The Amazon Monopoly: Is Amazon's Private Label Business the Tipping Point? Munich Personal RePEc Archive (2017)."},{"key":"e_1_3_2_1_22_1","unstructured":"Klint Finley. 2016. Amazon's Giving Away the AI Behind Its Product Recommendations. https:\/\/www.wired.com\/2016\/05\/amazons-giving-away-ai-behind-product-recommendations\/. (2016)."},{"key":"e_1_3_2_1_23_1","volume-title":"Centrality in social networks conceptual clarification. Social networks 1, 3","author":"Freeman Linton C","year":"1978","unstructured":"Linton C Freeman. 1978. Centrality in social networks conceptual clarification. Social networks 1, 3 (1978)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Sahin Cem Geyik Stuart Ambler and Krishnaram Kenthapadi. 2019. Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. (2019).","DOI":"10.1145\/3292500.3330691"},{"key":"e_1_3_2_1_25_1","volume-title":"Amazon is turning advertising into its next huge business-here's how. https:\/\/www.cnbc.com\/2019\/07\/17\/how-amazon-advertising-works.html. (July","author":"Graham M","year":"2019","unstructured":"M Graham. 2019. Amazon is turning advertising into its next huge business-here's how. https:\/\/www.cnbc.com\/2019\/07\/17\/how-amazon-advertising-works.html. (July 2019)."},{"key":"e_1_3_2_1_26_1","volume-title":"Balachander Krishnamurthy, David Lazer, Alan Mislove, and Christo Wilson.","author":"Hannak Aniko","year":"2013","unstructured":"Aniko Hannak, Piotr Sapiezynski, Arash Molavi Kakhki, Balachander Krishnamurthy, David Lazer, Alan Mislove, and Christo Wilson. 2013. Measuring personalization of web search. In WWW."},{"key":"e_1_3_2_1_27_1","volume-title":"Negative binomial regression","author":"Hilbe Joseph M","unstructured":"Joseph M Hilbe. 2011. Negative binomial regression. Cambridge University Press."},{"key":"e_1_3_2_1_28_1","volume-title":"Despite Internal Pushback. https:\/\/tinyurl.com\/extremetech-amz-change-search.","author":"Hruska Joel","year":"2019","unstructured":"Joel Hruska. 2019. Amazon Changed Its Search Algorithms to Boost Its Own Products, Despite Internal Pushback. https:\/\/tinyurl.com\/extremetech-amz-change-search. (2019)."},{"key":"e_1_3_2_1_29_1","unstructured":"Clement J. 2020. Annual net sales of Amazon 2004--2019. https:\/\/www.statista.com\/statistics\/266282\/annual-net-revenue-of-amazoncom\/. (2020)."},{"key":"e_1_3_2_1_30_1","volume-title":"What recommenders recommend: an analysis of recommendation biases and possible countermeasures","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. Springer User Modeling and User-Adapted Interaction (2015)."},{"key":"e_1_3_2_1_31_1","volume-title":"New Survey Shows. https:\/\/www.cnbc.com\/2015\/10\/06\/amazon-is-absolutely-eviscerating-other-retailers-online-new-survey-shows.html.","author":"Ray J.D.","year":"2015","unstructured":"Ray J.D. 2015. Amazon Is Absolutely Eviscerating Other Retailers Online, New Survey Shows. https:\/\/www.cnbc.com\/2015\/10\/06\/amazon-is-absolutely-eviscerating-other-retailers-online-new-survey-shows.html. (2015)."},{"key":"e_1_3_2_1_32_1","unstructured":"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_33_1","unstructured":"J. J Kaziukenas. 2019. Amazon Has Three Million Active Sellers. https:\/\/www.marketplacepulse.com\/articles\/amazon-has-three-million-active-sellers. (Nov 2019)."},{"key":"e_1_3_2_1_34_1","unstructured":"J. J Kaziukenas. 2020. Amazon Is Replacing Product Suggestions With Ads. https:\/\/www.marketplacepulse.com\/articles\/amazon-is-replacing-product-suggestions-with-ads. (2020)."},{"key":"e_1_3_2_1_35_1","volume-title":"Amazon's antitrust paradox. Yale LJ","author":"Khan Lina M","year":"2016","unstructured":"Lina M Khan. 2016. Amazon's antitrust paradox. Yale LJ (2016)."},{"key":"e_1_3_2_1_36_1","volume-title":"A method for evaluating discoverability and navigability of recommendation algorithms. Computational social networks 4","author":"Lamprecht Daniel","year":"2017","unstructured":"Daniel Lamprecht, Markus Strohmaier, and Denis Helic. 2017. A method for evaluating discoverability and navigability of recommendation algorithms. Computational social networks 4 (2017)."},{"key":"e_1_3_2_1_37_1","volume-title":"com recommendations: Item-to-item collaborative filtering","author":"Linden Greg","year":"2003","unstructured":"Greg Linden, Brent Smith, and Jeremy York. 2003. Amazon. com recommendations: Item-to-item collaborative filtering. IEEE Internet computing (2003)."},{"key":"e_1_3_2_1_38_1","unstructured":"Dana Mattioli. 2019. Amazon Changed Search Algorithm in Ways That Boost Its Own Products. https:\/\/www.wsj.com\/articles\/amazon-changed-search-algorithm-in-ways-that-boost-its-own-products-11568645345. (2019)."},{"key":"e_1_3_2_1_39_1","volume-title":"Amazon Restricts How Rival Device Makers Buy Ads on Its Site. https:\/\/www.wsj.com\/articles\/amazon-restricts-advertising-competitor-device-makers-roku-arlo-11600786638. (Sep","author":"Mattioli D","year":"2020","unstructured":"D Mattioli, P Haggin, and S Shifflett. 2020. Amazon Restricts How Rival Device Makers Buy Ads on Its Site. https:\/\/www.wsj.com\/articles\/amazon-restricts-advertising-competitor-device-makers-roku-arlo-11600786638. (Sep 2020)."},{"key":"e_1_3_2_1_40_1","volume-title":"The end of\" corporate\" governance:(Hello\" platform\" governance)","author":"Cahery Joseph Mc","year":"2019","unstructured":"Joseph Mc Cahery, Erik Vermeulen, and Mark Fenwick. 2019. The end of\" corporate\" governance:(Hello\" platform\" governance). European Business Organization Law Review (2019)."},{"key":"e_1_3_2_1_41_1","unstructured":"David McCabe and Daisuke Wakabayashi. 2020. 10 States Accuse Google of Abusing Monopoly in Online Ads. https:\/\/nyti.ms\/3mslHXL. (2020)."},{"key":"e_1_3_2_1_42_1","volume-title":"McKinnon and Ryan Tracy","author":"John","year":"2020","unstructured":"John D. McKinnon and Ryan Tracy. 2020. Ten States Sue Google, Alleging Deal With Facebook to Rig Online Ad Market. https:\/\/www.wsj.com\/articles\/states-sue-google-over-digital-ad-practices-11608146817. (Dec 2020)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Rishabh Mehrotra Ashton Anderson Fernando Diaz Amit Sharma Hanna Wallach and Emine Yilmaz. 2017. Auditing search engines for differential satisfaction across demographics. In WWW.","DOI":"10.1145\/3041021.3054197"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Rishabh Mehrotra James McInerney Hugues Bouchard Mounia Lalmas and Fernando Diaz. 2018. Towards a fair marketplace: Counterfactual evaluation of the trade-off between relevance fairness & satisfaction in recommendation systems. In ACM CIKM.","DOI":"10.1145\/3269206.3272027"},{"key":"e_1_3_2_1_46_1","volume-title":"Empirical analysis of the impact of recommender systems on sales. Journal of Management Information Systems","author":"Pathak Bhavik","year":"2010","unstructured":"Bhavik Pathak, Robert Garfinkel, Ram D Gopal, Rajkumar Venkatesan, and Fang Yin. 2010. Empirical analysis of the impact of recommender systems on sales. Journal of Management Information Systems (2010)."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Gourab K Patro Arpita Biswas Niloy Ganguly Krishna P Gummadi and Abhijnan Chakraborty. 2020. FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. In WWW.","DOI":"10.1145\/3366423.3380196"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Gourab K Patro Abhijnan Chakraborty Ashmi Banerjee and Niloy Ganguly. 2020. Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World. In ACM RecSys.","DOI":"10.1145\/3383313.3412251"},{"key":"e_1_3_2_1_49_1","volume-title":"Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations. AAAI","author":"Patro Gourab K","year":"2020","unstructured":"Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly, and Krishna P Gummadi. 2020. Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations. AAAI (2020)."},{"key":"e_1_3_2_1_50_1","volume-title":"Content-based recommendation systems","author":"Pazzani Michael J","unstructured":"Michael J Pazzani and Daniel Billsus. 2007. Content-based recommendation systems. In Springer The adaptive web."},{"key":"e_1_3_2_1_51_1","unstructured":"Marketplace Pulse. 2020. Amazon Private Label Brands. https:\/\/www.marketplacepulse.com\/amazon-private-label-brands. (2020)."},{"key":"e_1_3_2_1_52_1","unstructured":"Rejoiner. 2018. The Amazon Recommendations Secret to Selling More Online. http:\/\/rejoiner.com\/resources\/amazon-recommendations-secret-selling-online. (2018)."},{"key":"e_1_3_2_1_53_1","volume-title":"Virg\u00edlio AF Almeida, and Wagner Meira Jr","author":"Ribeiro Manoel Horta","year":"2020","unstructured":"Manoel Horta Ribeiro, Raphael Ottoni, Robert West, Virg\u00edlio AF Almeida, and Wagner Meira Jr. 2020. Auditing radicalization pathways on youtube. In ACM FAccT."},{"key":"e_1_3_2_1_54_1","volume-title":"Auditing partisan audience bias within google search. PACM HCI (CSCW) 2","author":"Robertson Ronald E","year":"2018","unstructured":"Ronald E Robertson, Shan Jiang, Kenneth Joseph, Lisa Friedland, David Lazer, and Christo Wilson. 2018. Auditing partisan audience bias within google search. PACM HCI (CSCW) 2 (2018)."},{"key":"e_1_3_2_1_55_1","volume-title":"Auditing algorithms: Research methods for detecting discrimination on internet platforms. Data and discrimination: converting critical concerns into productive inquiry 22","author":"Sandvig Christian","year":"2014","unstructured":"Christian Sandvig, Kevin Hamilton, Karrie Karahalios, and Cedric Langbort. 2014. Auditing algorithms: Research methods for detecting discrimination on internet platforms. Data and discrimination: converting critical concerns into productive inquiry 22 (2014)."},{"key":"e_1_3_2_1_56_1","unstructured":"Piotr Sapiezynski Avijit Ghosh Levi Kaplan Alan Mislove and Aaron Rieke. [n. d.]. Algorithms that \"Don't See Color\": Comparing Biases in Lookalike and Special Ad Audiences. arXiv:1912.07579 ([n. d.])."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"crossref","unstructured":"Soumya Sarkar Sanjukta Bhowmick and Animesh Mukherjee. 2018. On Rich Clubs of Path-Based Centralities in Networks. In ACM CIKM.","DOI":"10.1145\/3269206.3271763"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-018-0574-x"},{"key":"e_1_3_2_1_59_1","unstructured":"Ramarko Sengupta. 2020. How the Amazon and Flipkart private labels affect other sellers on the ecommerce platforms. https:\/\/yourstory.com\/2020\/02\/amazon-flipkart-private-labels-impact-startups-sellers?utm_pageloadtype=scroll. (2020)."},{"key":"e_1_3_2_1_60_1","volume":"201","author":"Sharma Amit","unstructured":"Amit Sharma, Jake M Hofman, and Duncan J Watts. 2015. Estimating the causal impact of recommendation systems from observational data. In ACM EC.","journal-title":"Duncan J Watts."},{"key":"e_1_3_2_1_61_1","unstructured":"Ryan Tracy. 2020. House Panel Says Big Tech Wields Monopoly Power. https:\/\/www.wsj.com\/articles\/house-panel-calls-for-congress-to-break-up-tech-giants-11602016985. (2020)."},{"key":"e_1_3_2_1_62_1","unstructured":"Elizabeth Warren. 2020. You can be an umpire or you can be a player - but you can not be both. https:\/\/twitter.com\/ewarren\/status\/1120484639922110464. (2020)."},{"key":"e_1_3_2_1_63_1","volume-title":"Amazon is turning advertising into its next huge business- here's how. https:\/\/www.bloomberg.com\/news\/articles\/2020-11-10\/amazon-set-to-get-eu-antitrust-objections-over-sales-data. (November","author":"White Aoife","year":"2020","unstructured":"Aoife White and Stephanie Bodoni. 2020. Amazon is turning advertising into its next huge business- here's how. https:\/\/www.bloomberg.com\/news\/articles\/2020-11-10\/amazon-set-to-get-eu-antitrust-objections-over-sales-data. (November 2020)."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3085504.3085526"},{"key":"e_1_3_2_1_65_1","unstructured":"Sirui Yao and Bert Huang. 2017. Beyond parity: Fairness objectives for collaborative filtering. In NeurIPS."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"crossref","unstructured":"Ziwei Zhu Xia Hu and James Caverlee. 2018. Fairness-aware tensor-based recommendation. In ACM CIKM.","DOI":"10.1145\/3269206.3271795"}],"event":{"name":"FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency","location":"Virtual Event Canada","acronym":"FAccT '21","sponsor":["ACM Association for Computing Machinery"]},"container-title":["Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442188.3445944","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442188.3445944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:58Z","timestamp":1750193338000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442188.3445944"}},"subtitle":["Bias in Private Label Product Recommendations on E-commerce Marketplaces"],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":65,"alternative-id":["10.1145\/3442188.3445944","10.1145\/3442188"],"URL":"https:\/\/doi.org\/10.1145\/3442188.3445944","relation":{},"subject":[],"published":{"date-parts":[[2021,3]]},"assertion":[{"value":"2021-03-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}