Computational Versus Perceived Popularity Miscalibration in Recommender Systems

Author:

Lesota Oleg1ORCID,Escobedo Gustavo2ORCID,Deldjoo Yashar3ORCID,Ferwerda Bruce4ORCID,Kopeinik Simone5ORCID,Lex Elisabeth6ORCID,Rekabsaz Navid1ORCID,Schedl Markus1ORCID

Affiliation:

1. Johannes Kepler University Linz and Linz Institute of Technology, Linz, Austria

2. Johannes Kepler University Linz, Linz, Austria

3. Polytechnic University of Bari, Bari, Italy

4. Jönköping University, Jönköping, Sweden

5. Know-Center GmbH, Graz, Austria

6. Graz University of Technology, Graz, Austria

Funder

Austrian Science Fund (FWF)

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

Publisher

ACM

Reference29 articles.

1. 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 , Copenhagen, Denmark , September 20, 2019 ( CEUR Workshop Proceedings , Vol. 2440). 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, Copenhagen, Denmark, September 20, 2019 (CEUR Workshop Proceedings, Vol. 2440).

2. The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation

3. User-centered Evaluation of Popularity Bias in Recommender Systems

4. A flexible framework for evaluating user and item fairness in recommender systems

5. Yashar Deldjoo , Dietmar Jannach , Alejandro Bellogin , Alessandro Diffonzo , and Dario Zanzonelli . 2023. Fairness in Recommender Systems: Research Landscape and Future Directions. User Modeling and User-Adapted Interaction ( 2023 ). Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin, Alessandro Diffonzo, and Dario Zanzonelli. 2023. Fairness in Recommender Systems: Research Landscape and Future Directions. User Modeling and User-Adapted Interaction (2023).

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A survey on popularity bias in recommender systems;User Modeling and User-Adapted Interaction;2024-07-01

2. User Perception of Fairness-Calibrated Recommendations;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22

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