Neural Collaborative Embedding From Reviews for Recommendation

Neural Collaborative Embedding From Reviews for Recommendation

This paper mainly studies the personalized rating prediction task based on review texts for the recommendation. Recently, most of the related researches use convolutional neural networks to capture local context information, but it loses word frequency and global context information. In addition, th...

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Bibliographic Details
Main Authors: Xingjie Feng, Yunze Zeng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Recommender system
collaborative filtering
deep learning
factorization machine
Online Access:https://ieeexplore.ieee.org/document/8782556/

Internet

https://ieeexplore.ieee.org/document/8782556/

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