A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems
Author:
Affiliation:
1. Eindhoven University of Technology, MB Eindhoven, The Netherlands
2. Northwestern University, Evanston, IL, USA
3. DePaul University, South Wabash, Chicago, IL, USA
4. University of Colorado Boulder, Boulder, CO, USA
Abstract
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Science Applications,General Business, Management and Accounting,Information Systems
Link
https://dl.acm.org/doi/pdf/10.1145/3470948
Reference49 articles.
1. Multistakeholder recommendation: Survey and research directions
2. Himan Abdollahpouri Masoud Mansoury Robin Burke and Bamshad Mobasher. 2020. Addressing the multistakeholder impact of popularity bias in recommendation through calibration. arXiv:2007.12230. Himan Abdollahpouri Masoud Mansoury Robin Burke and Bamshad Mobasher. 2020. Addressing the multistakeholder impact of popularity bias in recommendation through calibration. arXiv:2007.12230.
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