Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

17 Feb 2019Yixin CaoXiang WangXiangnan HeZikun huTat-Seng Chua

Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. However, existing methods largely assume that a KG is complete and simply transfer the "knowledge" in KG at the shallow level of entity raw data or embeddings... (read more)

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