Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation

Exploiting Social Review-Enhanced Convolutional Matrix Factorization for Social Recommendation

To deal with the inherent data sparsity and cold-start problem, many recommender systems try to exploit the textual information for improving prediction accuracy. Due to the significant progress of deep learning techniques, neural network-based content modeling methods have been investigated in rece...

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Bibliographic Details
Main Authors: Xinhua Wang, Xinxin Yang, Lei Guo, Yu Han, Fangai Liu, Baozhong Gao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
convolutional neural network
social network
matrix factorization
social review
Online Access:https://ieeexplore.ieee.org/document/8744217/

Internet

https://ieeexplore.ieee.org/document/8744217/

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