Enhancing multi-aspect collaborative filtering for personalized recommendation

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Enhancing multi-aspect collaborative filtering for personalized recommendation

Most existing Collaborative Filtering (CF) approach relies on single overall ratings assigned to items. However, to precisely understand users' behaviours, sometimes this rating alone is not adequate. A user may show his/her overall preferences on an item through the overall ratings but at the...

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Bibliographic Details
Main Authors:	Khairudin, Nurkhairizan, Mohd Sharef, Nurfadhlina, Mustapha, Norwati, Mohd Noah, Shahrul Azman
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2018
Online Access:	http://psasir.upm.edu.my/id/eprint/68926/ http://psasir.upm.edu.my/id/eprint/68926/1/Enhancing%20multi-aspect%20collaborative%20filtering%20for%20personalized%20recommendation.pdf

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