Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research-Reference-Cited by-同舟云学术

Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research

Published:2022-07-04 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Schedl Markus¹,Rekabsaz Navid¹,Lex Elisabeth²,Grosz Tessa³,Greif Elisabeth³

Affiliation:

1. Institute of Computational Perception, Multimedia Mining and Search Group, Johannes Kepler University Linz, Austria and AI Lab, Human-centered AI Group, Linz Institute of Technology, Austria

2. Institute of Interactive Systems and Data Science, Graz University of Technology, Austria

3. Institute for Legal Gender Studies, Johannes Kepler University Linz, Austria

Funder

Austrian Science Fund (FWF)

State of Upper Austria and the Federal Ministry of Education, Science, and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511047.3536400

Reference54 articles.

1. Multistakeholder recommendation: Survey and research directions

2. Himan Abdollahpouri , Masoud Mansoury , Robin Burke , and Bamshad Mobasher . 2019. The Unfairness of Popularity Bias in Recommendation . In Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019 ), Copenhagen, Denmark, September 20, 2019(CEUR Workshop Proceedings, Vol. 2440), Robin Burke, Himan Abdollahpouri, Edward C. Malthouse , K. P. Thai, and Yongfeng Zhang (Eds.). CEUR-WS.org. http://ceur-ws.org/Vol-2440/paper4.pdf Himan Abdollahpouri, Masoud Mansoury, Robin Burke, and Bamshad Mobasher. 2019. The Unfairness of Popularity Bias in Recommendation. In Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019(CEUR Workshop Proceedings, Vol. 2440), Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, and Yongfeng Zhang (Eds.). CEUR-WS.org. http://ceur-ws.org/Vol-2440/paper4.pdf

3. Himan Abdollahpouri , Masoud Mansoury , Robin Burke , and Bamshad Mobasher . 2019 . The Unfairness of Popularity Bias in Recommendation. In Workshop on Recommendation in Multi-stakeholder Environments (RMSE’19) , in conjunction with the 13th ACM Conference on Recommender Systems, RecSys’19. Himan Abdollahpouri, Masoud Mansoury, Robin Burke, and Bamshad Mobasher. 2019. The Unfairness of Popularity Bias in Recommendation. In Workshop on Recommendation in Multi-stakeholder Environments (RMSE’19), in conjunction with the 13th ACM Conference on Recommender Systems, RecSys’19.

4. Fairness metrics and bias mitigation strategies for rating predictions

5. Recommendation in multistakeholder environments

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