BOOK-CHAPTER
Learning Item Attributes and User Interests for Knowledge Graph Enhanced Recommendation
Zepeng HuaiGuohua YangJianhua TaoDawei Zhang
Year: 2023 Lecture notes in computer science Pages: 284-297 Publisher: Springer Science+Business Media
Keywords:
Computer science Leverage (statistics) Graph Knowledge graph Information retrieval Theoretical computer science Data mining Artificial intelligence
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
38
Refs
0.46
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Recommender Systems and Techniques
Physical Sciences → Computer Science → Information Systems
Advanced Graph Neural Networks
Physical Sciences → Computer Science → Artificial Intelligence
Topic Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
JOURNAL ARTICLE
Combining user-end and item-end knowledge graph learning for personalized recommendation
Tianlong GuHaohong LiangChenzhong BinLiang Chang
Journal: Journal of Intelligent & Fuzzy Systems Year: 2021 Vol: 40 (5)Pages: 9213-9225
JOURNAL ARTICLE
Mining User–Item Interactions via Knowledge Graph for Recommendation
Shenghao LiuLingyun LuBang Wang
Journal: ACM Transactions on Recommender Systems Year: 2023 Vol: 3 (3)Pages: 1-19
JOURNAL ARTICLE
Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation
Zhipeng ZhangY. S. ZhuMianxiong DongKaoru OtaYao ZhangYonggong Ren
Journal: IEEE Transactions on Emerging Topics in Computational Intelligence Year: 2025 Vol: 9 (5)Pages: 3311-3324
JOURNAL ARTICLE
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation
Journal: Data Mining and Knowledge Discovery Year: 2025 Vol: 39 (5)
JOURNAL ARTICLE
Learning Dual-Layer User Representation for Enhanced Item Recommendation
Fuxi ZhuJin XieMohammed Merae Alshahrani
Journal: Computers, materials & continua/Computers, materials & continua (Print) Year: 2024 Vol: 80 (1)Pages: 949-971