TextOG: A Recommendation Model for Rating Prediction Based on Heterogeneous Fusion of Review Data

TextOG: A Recommendation Model for Rating Prediction Based on Heterogeneous Fusion of Review Data

It is beneficial to use user review as a preference expression because they contain information that is not in the interaction record. However, most current research on recommendation systems only models the explicit records of users and items. It does not mine more personalized information from the...

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Bibliographic Details
Main Authors: Zhenyu Yang, Mingge Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Recommendation system
review
heterogeneous information
graph convolutional networks
Online Access:https://ieeexplore.ieee.org/document/9184058/

Internet

https://ieeexplore.ieee.org/document/9184058/

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