77 citations · 80 across the 3 of their papers we have counts for
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cs.IR2023
Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback
Bin Liu, Qin Luo, Bang Wang
Learning contrastive representations from pairwise comparisons has achieved remarkable success in various fields, such as natural language processing, computer vision, and informat…
cs.IR2023★ 3 cited
Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling
Bin Liu, Erjia Chen, Bang Wang
Popularity bias is a persistent issue associated with recommendation systems, posing challenges to both fairness and efficiency. Existing literature widely acknowledges that reduci…
cs.IR2023★ 77 cited
Prompt Learning for News Recommendation
Zizhuo Zhang, Bang Wang
Some recent \textit{news recommendation} (NR) methods introduce a Pre-trained Language Model (PLM) to encode news representation by following the vanilla pre-train and fine-tune pa…