Using social network services as an input for a trust clustered: collaborative filtering recommendation system

Authors:
Teo Eterović;Benjamin Kapetanović;Dzenana Donko
Affiliations:
Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina;Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina;Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina
Venue:
DNCOCO'10 Proceedings of the 9th WSEAS international conference on Data networks, communications, computers
Year:
2010

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Abstract

In this paper we present a Recommendation system that uses the Social Network Services like Facebook Connect, OpenSocial etc. to get useful interest and friend interest data as an input for a Trust Clustering - Friends interest clustering applied on the results of a Collaborative filtering algorithm. We also discuss the advantages and disadvantages of Collaborative filtering and Trust based Clustering and how our solution uses the advantages and solves the disadvantages by combining them.