27 citations · 36 across the 5 of their papers we have counts for
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cs.IR2023
Metric Optimization and Mainstream Bias Mitigation in Recommender Systems
Roger Zhe Li
The first part of this thesis focuses on maximizing the overall recommendation accuracy. This accuracy is usually evaluated with some user-oriented metric tailored to the recommend…
cs.IR2023★ 3 cited
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning
Roger Zhe Li, Julián Urbano, Alan Hanjalic
Mainstream bias, where some users receive poor recommendations because their preferences are uncommon or simply because they are less active, is an important aspect to consider reg…