NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation

Traditional recommender systems only utilize a single user-item interaction behavior as the optimization target behavior. However, multi-behavior recommender systems leverage multiple user behaviors as auxiliary behaviors(favorite and page view), which is more practical. Therefore, recommender syste...

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Vydané v:	World wide web (Bussum) Ročník 26; číslo 5; s. 2373 - 2394
Hlavní autori:	Jiang, Nan, Hu, Zihao, Wen, Jie, Zhao, Jiahui, Gu, Weihao, Tu, Ziang, Liu, Ximeng, Li, Yuanyuan, Gong, Jianfei, Lin, Fengtao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2023 Springer Nature B.V
Predmet:	Behavior Computer Science Database Management Electronic commerce Information Systems Applications (incl.Internet) Operating Systems Optimization Recommender systems Special Issue on Privacy and Security in Machine Learning Embedding learning Graph neural networks E-commerce recommendation Multi-behavior task
ISSN:	1386-145X, 1573-1413
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