Temporal integration based factorization to improve prediction accuracy of collaborative filtering
A recommender system provides users with personalized suggestions for items based on the user’s behaviour history. These systems often use the collaborative filtering (CF) for analysing the users’ preferences for items in the rating matrix. The rating matrix typically contains a high percentage of...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69372/1/FSKTM%202016%2040%20IR.pdf http://psasir.upm.edu.my/id/eprint/69372/ |
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