User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms-Reference-Cited by-同舟云学术

User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:Fifteenth ACM Conference on Recommender Systems
language:
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Author:

Wang Ningxia¹,Chen Li¹

Affiliation:

1. Department of Computer Science, Hong Kong Baptist University, China

Funder

Hong Kong Research Grants Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460231.3474244

Reference49 articles.

1. Himan Abdollahpouri Masoud Mansoury Robin Burke and Bamshad Mobasher. 2019. The Unfairness of Popularity Bias in Recommendation. arxiv:1907.13286 [cs.IR] Himan Abdollahpouri Masoud Mansoury Robin Burke and Bamshad Mobasher. 2019. The Unfairness of Popularity Bias in Recommendation. arxiv:1907.13286 [cs.IR]

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

3. On Unexpectedness in Recommender Systems

4. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

5. Bias on the web

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