Recommender Systems

Cross Pairwise Ranking for Unbiased Item Recommendation

We develop a new learning paradigm named Cross Pairwise Ranking (CPR) to alleviate the popularity bias in recommender systems. It achieves unbiased recommendation without knowing the exposure mechanism.

Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang