Multi-level attentive deep user-item representation learning for recommendation system
With the development of e-commerce platforms, user reviews have become a vital source of information to address the sparsity problems for enhancing the predictive performance of the recommendation systems (RSs). However, the traditional methods of the RSs used to model user/item latent features base...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier B.V.
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95815/ http://dx.doi.org/10.1016/j.neucom.2020.12.043 |
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| Institution: | Universiti Teknologi Malaysia |