User-centered Evaluation of Popularity Bias in Recommender Systems

Author:

Abdollahpouri Himan1,Mansoury Masoud2,Burke Robin3,Mobasher Bamshad4,Malthouse Edward1

Affiliation:

1. Northwestern University

2. Eindhoven University of Technology

3. University of Colorado, Boulder

4. DePaul University

Funder

National Science Foundation

Publisher

ACM

Cited by 62 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. CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

3. Improved literature recommendation system through the fusion mode of conformity bias elimination and keyword preference;Expert Systems with Applications;2024-08

4. Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach;ACM Transactions on Intelligent Systems and Technology;2024-07-27

5. SM-RS: Single- and Multi-Objective Recommendations with Contextual Impressions and Beyond-Accuracy Propensity Scores;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

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