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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9017973/ |