Feature-enhanced embedding learning for heterogeneous collaborative filtering

Heterogeneous information network (HIN) has recently been receiving increasing attention in recommender systems due to its practicability in depicting data heterogeneity. The rich structural and semantic information embodied in the HIN can help mining latent features of users and items for recommend...

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