A recommender that uses MF and SVD to build contrastive views claims improved recall/NDCG on small datasets, but its core fusion equations are ill-defined and its experimental numbers don't consistently match.
Interest-aware message-passing gcn for recommen- dation
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Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
A recommender that uses MF and SVD to build contrastive views claims improved recall/NDCG on small datasets, but its core fusion equations are ill-defined and its experimental numbers don't consistently match.