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Analyzing the Effect of Sampling in GNNs on Individual Fairness


Sep 09, 2022
Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi


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Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship


Aug 02, 2022
Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born

* The 16th ACM Conference on Recommender Systems 

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On Natural Language User Profiles for Transparent and Scrutable Recommendation


May 19, 2022
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin

* Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22), 2022 

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Retrieval-Enhanced Machine Learning


May 02, 2022
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky

* To appear in proceedings of ACM SIGIR 2022 

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Joint Multisided Exposure Fairness for Recommendation


Apr 29, 2022
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu


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Offline Retrieval Evaluation Without Evaluation Metrics


Apr 25, 2022
Fernando Diaz, Andres Ferraro

* to appear at SIGIR 2022 

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Exposing Query Identification for Search Transparency


Oct 14, 2021
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega


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Estimation of Fair Ranking Metrics with Incomplete Judgments


Aug 11, 2021
Ömer Kırnap, Fernando Diaz, Asia Biega, Michael Ekstrand, Ben Carterette, Emine Yılmaz

* Published in Proceedings of the Web Conference 2021 (WWW '21) 

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Overview of the TREC 2020 Fair Ranking Track


Aug 11, 2021
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier

* Published in The Twenty-Ninth Text REtrieval Conference Proceedings (TREC 2020) 

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Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice


Jul 16, 2021
Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega


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