Embedded learning for leveraging multi-aspect in rating prediction of personalized recommendation

Embedded learning for leveraging multi-aspect in rating prediction of personalized recommendation

Collaborative filtering that relies on overall ratings has been widely accepted due to the ability to generate satisfactory recommendations. However, the most challenging difficulty of this approach is the lack of sufficient ratings or the so-called data sparsity. Moreover, sometimes these ratings a...

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Bibliographic Details
Main Authors: Khairudin, Nurkhairizan, Mohd Sharef, Nurfadhlina, Mohd Noah, Shahrul Azman, Mustapha, Norwati
Format: Article
Language:English
Published: Faculty of Computer Science and Information Technology, University of Malaya 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72552/
http://psasir.upm.edu.my/id/eprint/72552/1/Embedded%20learning%20for%20leveraging%20multi-aspect%20in%20rating%20prediction%20of%20personalized%20recommendation.pdf

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