An attribute-aware attentive GCN model for attribute missing in recommendation

• Main Authors: LIU, Fan, CHENG, Zhiyong, ZHU, Lei, LIU, Chenghao, NIE, Liqiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Attribute; graph convolutional networks; recommendatiosn; attention mechanism; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7258; https://ink.library.smu.edu.sg/context/sis_research/article/8261/viewcontent/2003.09086.pdf
• Institution: Singapore Management University

As important side information, attributes have been widely exploited in the existing recommender system for better performance. However, in the real-world scenarios, it is common that some attributes of items/users are missing (e.g., some movies miss the genre data). Prior studies usually use a defa...