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cs.IR2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
Minghong Fang, Jia Liu, Michinari Momma +1
Today, recommender systems have played an increasingly important role in shaping our experiences of digital environments and social interactions. However, as recommender systems be…
cs.IR2022
Multi-Label Learning to Rank through Multi-Objective Optimization
Debabrata Mahapatra, Chaosheng Dong, Yetian Chen +2
Learning to Rank (LTR) technique is ubiquitous in the Information Retrieval system nowadays, especially in the Search Ranking application. The query-item relevance labels typically…