Trust In A Hybrid Recommender Systems

Citation

Karimi, Morteza (2011) Trust In A Hybrid Recommender Systems. Masters thesis, Multimedia University.

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Abstract

In this research,a novel trust calculation that is incorporated into a hybrid recommender system is proposed in order to increase the accuracy of rating prediction. The accuracy of the proposed system was measured based on Recall and Precision.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Users 1102 not found.
Date Deposited: 27 Nov 2012 06:59
Last Modified: 27 Nov 2012 06:59
URII: http://shdl.mmu.edu.my/id/eprint/3649

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