Deep Group Recommender System Model Based on User Trust

被引：0
|
作者：
Song, Yulong [1 ]
Ma, Wenming [1 ]
Liu, Tongtong [1 ]
机构：
[1] Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Peoples R China
来源：
2020 13TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2020) | 2020年
关键词：
deep learning; group recommendation; preference fusion; evaluation index;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Today's group recommender systems rarely consider the trust relationship between users, but the interaction between users often has a significant impact on each other's preferences. A group recommendation model based on deep learning and user interaction is proposed, which has stronger representational capability than previous models. In addition, an improved weight fusion method based on user implicit vector is applied to the preference fusion of group members. Epinions data set shows that this model is superior to other comparison algorithms in RMSE and hit ratio.
引用
收藏
页码：1015 / 1019
页数：5
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