An adaptive deep learning method for item recommendation system
For many years user textual reviews have been exploited to model user/item representations for enhancing the performance of the Recommender System (RS). However, the traditional methods of the RSs basically rely on the static user/item feature vectors and ignore the fine-grained user–item interactio...
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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/96072/ http://dx.doi.org/10.1016/j.knosys.2020.106681 |
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| Institution: | Universiti Teknologi Malaysia |