Personalized Beyond-accuracy Calibration in Recommendation
Author:
Affiliation:
1. University of Southern California, Los Angeles, CA, USA
2. Shahid Beheshti University, Tehran, Iran
3. University College London, London, United Kingdom
4. Google, Palo Alto, CA, USA
5. University of Amsterdam, Amsterdam, Netherlands
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3664190.3672507
Reference46 articles.
1. Himan Abdollahpouri and Robin Burke. 2019. Multi-stakeholder recommendation and its connection to multi-sided fairness. arXiv preprint arXiv:1907.13158 (2019).
2. Controlling Popularity Bias in Learning-to-Rank Recommendation
3. Himan Abdollahpouri, Masoud Mansoury, Robin Burke, and Bamshad Mobasher. 2019. The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 (2019).
4. ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping
5. Interplay between upsampling and regularization for provider fairness in recommender systems
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