Exploiting dynamic changes from latent features to improve recommendation using temporal matrix factorization
Recommending sustainable products to the target users in a timely manner is the key drive for consumer purchases in online stores and served as the most effective means of user engagement in online services. In recent times, recommender systems are incorporated with different mechanisms, such as sli...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/90347/1/NaomieSalim2020_ExploitingDynamicChangesfromLatentFeatures.pdf |