Improving Recommendations for Non-Mainstream Users by Addressing Subjective Item Views
Author:
Affiliation:
1. Faculty of Mathematics, Natural Sciences and Information Technologies, Department of Information Sciences and Technologies, University of Primorska, Slovenia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3631700.3664916
Reference26 articles.
1. Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2018. Popularity-Aware Item Weighting for Long-Tail Recommendation. http://arxiv.org/abs/1802.05382 arXiv:1802.05382 [cs].
2. Himan Abdollahpouri and Masoud Mansoury. 2020. Multi-sided Exposure Bias in Recommendation. https://doi.org/10.48550/ARXIV.2006.15772
3. Recommender systems
4. Connecting user and item perspectives in popularity debiasing for collaborative recommendation
5. Evaluating Item-Item Similarity Algorithms for Movies
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