Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system
Recommendation systems rely on the historic data of users' purchases and their feedbacks to profile their preferences and make future recommendations. Most of these systems usually employ Collaborative Filtering (CF) models to analyze users’ ratings and infer the latent factors which represent...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Elsevier Ltd.
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98663/ http://dx.doi.org/10.1016/j.eswa.2021.116262 |
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| Institution: | Universiti Teknologi Malaysia |