The effectiveness of user-centric social interfaces on evaluating mobile recommendations

Abstract

Many studies on recommender systems have focused on increasing their accuracy by enhancing the algorithms employed. Social perceptions, however, influence both satisfaction and perceived accuracy of mobile recommender systems. Thus, the aim of this study was to investigate the importance of including reasons for particular recommendations by examining the… (More)
DOI: 10.1145/2971603.2971622

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