Quad-tier entity fusion contrastive representation learning for knowledge aware recommendation system

• المؤلفون الرئيسيون: Ong, Kenneth Rongqing, Qiu, Wei, Khong, Andy Wai Hoong
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Recommender system; Knowledge graph; Users preferences; Contrastive learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/175884
• المؤسسة: Nanyang Technological University

Knowledge graph (KG) has recently emerged as a powerful source of auxiliary information in the realm of knowledge-aware recommendation (KGR) systems. However, due to the lack of supervision signals caused by the sparse nature of user-item interactions, existing supervised graph neural network (GNN)...