An Implicit Trust-Network construction approach and a Recommendation Methodology for recommender systems
Reza Barzegar Nozari, Hamidreza Koohi
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Abstract
Implicit Trust-Network approach and Recommendation Methodology are employed following the building of a recommender system to improve prediction precision and recommendation quality. Implicit trust-network enhances the prediction exactness of users’ preference in the system. The recommendation methodology increases the quality of recommendations. Both methods of implicit trust-network and recommendation methodology are combined to introduce a new robust recommender system called Implicit Trust-Network-based Recommendation Methodology (ITNRM). An open-source ITNRM by MATLAB is prepared to be available with no external dependencies to employ or further extension.