VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
arXiv:2507.21563v4 Announce Type: replace-cross
Abstract: Recommendation systems often suffer from data sparsity caused by limited user-item interactions, which degrade their performance and amplify popularity bias in real-world scenarios. This paper …