Double End Knowledge Graph Convolutional Networks for Recommender Systems

Double End Knowledge Graph Convolutional Networks for Recommender Systems

Knowledge graph (KG) provides a data structure to generate hybrid recommendations based on content and collaborative filtering. However, the existing recommendation methods based on knowledge graph take much less account of the user attribute information than the item attribute. To solve this proble...

Full description

Bibliographic Details
Main Author: LI Xiang, YANG Xingyao, YU Jiong, QIAN Yurong, ZHENG Jie
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-01-01
Series:Jisuanji kexue yu tansuo
Subjects:
|recommender system|knowledge graph (kg)|graph convolutional networks|knowledge representation learning
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2103072.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2103072.pdf

Similar Items