The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation-Reference-Cited by-同舟云学术

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

Published:2020-09-22 Issue: Volume: Page:
ISSN:
Container-title:Fourteenth ACM Conference on Recommender Systems
language:
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Author:

Abdollahpouri Himan¹,Mansoury Masoud²,Burke Robin¹,Mobasher Bamshad³

Affiliation:

1. Department of Information Science University of Colorado Boulder, United States

2. Eindhoven University of Technology, Netherlands

3. School of Computing DePaul University, United States

Funder

National science foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383313.3418487

Reference32 articles.

1. Multistakeholder recommendation: Survey and research directions

2. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

3. Chris Anderson. 2006. The long tail: Why the future of business is selling more for less. Hyperion. Chris Anderson. 2006. The long tail: Why the future of business is selling more for less. Hyperion.

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