Recommendation

How graph convolutions amplify popularity bias for recommendation?
Graph convolutional networks (GCNs) have become prevalent in recommender system (RS) due to their superiority in modeling collaborative …
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ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation
Implicit feedback (e.g., user clicks) is widely used in building recommender systems (RS). However, the inherent notorious exposure …
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Understanding Contrastive Learning via Distributionally Robust Optimization
This study reveals the inherent tolerance of contrastive learning (CL) towards sampling bias, wherein negative samples may encompass …
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