Deformable Convolutional Matrix Factorization for Document Context-Aware Recommendation in Social Networks

Deformable Convolutional Matrix Factorization for Document Context-Aware Recommendation in Social Networks

The extreme sparsity of the rating data seriously affects the recommendation quality of the recommendation system. In order to alleviate the problem of data sparsity, some convolutional neural network (CNN)-based models make full use of text data to improve the recommendation accuracy. However, due...

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Bibliographic Details
Main Authors: Honglong Chen, Jinnan Fu, Lei Zhang, Shuai Wang, Kai Lin, Leyi Shi, Lianhai Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
contextual information
neural networks
recommendation system
Online Access:https://ieeexplore.ieee.org/document/8716661/

Internet

https://ieeexplore.ieee.org/document/8716661/

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