An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems

Recent studies on heterogeneous information network (HIN) embedding-based recommendations have encountered challenges. These challenges are related to the data heterogeneity of the associated unstructured attribute or content (e.g., text-based summary/description) of users and items in the context o...

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