A Novel Social Recommendation Method Fusing User’s Social Status and Homophily Based on Matrix Factorization Techniques

A Novel Social Recommendation Method Fusing User’s Social Status and Homophily Based on Matrix Factorization Techniques

As one of the most successful recommendation techniques, collaborative filtering provides a useful recommendation by associating an active user with a crowd of users who share the same interests. Although some achievements have been achieved both in theory and practice, the efficiency of recommender...

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Bibliographic Details
Main Authors: Rui Chen, Qingyi Hua, Bo Wang, Min Zheng, Weili Guan, Xiang Ji, Quanli Gao, Xiangjie Kong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Recommender systems
collaborative filtering
matrix factorization
PageRank algorithm
trust networks
Online Access:https://ieeexplore.ieee.org/document/8611333/

Internet

https://ieeexplore.ieee.org/document/8611333/

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