Unifying knowledge graph learning and recommendation: towards a better understanding of user preferences

• Main Authors: CAO, Yixin, WANG, Xiang, HE, Xiangnan, HU, Zikun, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Item Recommendation; Knowledge Graph; Embedding; Joint Model; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7288; https://ink.library.smu.edu.sg/context/sis_research/article/8291/viewcontent/3308558.3313705.pdf
• Institution: Singapore Management University

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. This ma...