Feb, 2024
邻域增强的监督对比学习在协同过滤中的应用
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang
TL;DR我们提出的 Neighborhood-Enhanced Supervised Contrastive Loss (NESCL) 模型在三个真实数据集上, Yelp2018、Gowalla 和 Amazon-Book,相较于原始的 SGL 模型,在 NDCG@20 上分别提升了 10.09%、7.09% 和 35.36%。