Vahid Azizi

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

2018 · Algorithms

Providing model-generated explanations in recommender systems is important to user experience. State-of-the-art recommendation algorithms—especially the collaborative filtering (CF)- based approaches with shallow or deep models—usually work with various unstructured information sources for recommendation, such as …