Ensemble divide and conquer approach to solve the rating scores’ deviation in recommendation system
The rating matrix of a personalized recommendation system contains a high percentage of unknown rating scores which lowers the quality of the prediction. Besides, during data streaming into memory, some rating scores are misplaced from its appropriate cell in the rating matrix which also decrease th...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Science Publications
2016
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Online Access: | http://psasir.upm.edu.my/id/eprint/54173/1/Ensemble%20divide%20and%20conquer%20approach%20to%20solve%20the%20rating%20scores%E2%80%99%20deviation%20in%20recommendation%20system.pdf http://psasir.upm.edu.my/id/eprint/54173/ http://thescipub.com/abstract/10.3844/jcssp.2016.265.275 |
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Institution: | Universiti Putra Malaysia |
Language: | English |
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