A Parallel Deep Neural Network Using Reviews and Item Metadata for Cross-Domain Recommendation

A Parallel Deep Neural Network Using Reviews and Item Metadata for Cross-Domain Recommendation

Cross-domain recommendation is an effective technique to alleviate the data sparsity problem in recommender systems by utilizing the information from relevant domains. In this paper, we propose Cross-domain Deep Neural Network (CD-DNN) for the cross-domain recommendation. CD-DNN solves the rating pr...

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Bibliographic Details
Main Authors: Wenxing Hong, Nannan Zheng, Ziang Xiong, Zhiqiang Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cross-domain recommendation
convolutional neural networks
rating prediction
Online Access:https://ieeexplore.ieee.org/document/9017973/

Internet

https://ieeexplore.ieee.org/document/9017973/

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