Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation
Cross-domain recommender systems are known to provide solutions to the cold start and data sparsity problems in recommender systems. This can be achieved by leveraging sufficient ratings and users’ profiles in one domain to enhance accurate recommendations in another domain. However, doma...
Main Authors: | Taiwo Blessing Ogunseyi, Cossi Blaise Avoussoukpo, Yiqiang Jiang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9462100/ |
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