Review of the temporal recommendation system with matrix factorization
The temporal recommendation system (TRS) is designed for providing users with an accurate prediction based on the history of their behaviour during a precise time. Most TRS approaches use matrix factorization and collaborative filtering, which are primarily based on the distribution of the user pref...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ICIC International
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/62987/1/Review%20of%20the%20temporal%20recommendation%20system%20with%20matrix%20factorization.pdf |