Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Author:
Affiliation:
1. Google Brain, New York, NY, USA
2. Google Brain, Montreal, PQ, Canada
3. Google Brain, Mountain View, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3437963.3441732
Reference58 articles.
1. Gediminas Adomavicius and Alexander Tuzhilin. 2005. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. In TKDE. Gediminas Adomavicius and Alexander Tuzhilin. 2005. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. In TKDE.
2. Rakesh Agrawal Sreenivas Gollapudi Alan Halverson and Samuel Ieong. 2009. Diversifying Search Results. In WSDM. Rakesh Agrawal Sreenivas Gollapudi Alan Halverson and Samuel Ieong. 2009. Diversifying Search Results. In WSDM.
3. Improving Post-Click User Engagement on Native Ads via Survival Analysis
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