A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks

A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks

In the era of big data, recommender system (RS) has become an effective information filtering tool that alleviates information overload for Web users. Collaborative filtering (CF), as one of the most successful recommendation techniques, has been widely studied by various research institutions and i...

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Bibliographic Details
Main Authors: Rui Chen, Qingyi Hua, Yan-Shuo Chang, Bo Wang, Lei Zhang, Xiangjie Kong
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Recommender systems
collaborative filtering
matrix factorization
singular value decomposition
trust-aware collaborative filtering
social networks
Online Access:https://ieeexplore.ieee.org/document/8506344/

Internet

https://ieeexplore.ieee.org/document/8506344/

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