Reinforced negative sampling over knowledge graph for recommendation

• Main Authors: WANG, Xiang, XU, Yaokun, HE, Xiangnan, CAO, Yixin, WANG, Meng, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Recommendation; Knowledge Graph; Negative Sampling; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7459; https://ink.library.smu.edu.sg/context/sis_research/article/8462/viewcontent/3366423.3380098.pdf
• Institution: Singapore Management University

Properly handling missing data is a fundamental challenge in recommendation. Most present works perform negative sampling from unobserved data to supply the training of recommender models with negative signals. Nevertheless, existing negative sampling strategies, either static or adaptive ones, are...