Trust in a Hybrid Recommender System

A huge number of information is available nowadays and it keeps increasing every day. As such, the need for recommender system to recommend relevant items or information is in high demand. Furthermore, recommender system is expected to deliver relevant items from a trustable source. In this paper, we proposed a new trust calculation that is incorporated into a hybrid recommender system. Our new trust calculation is calculated based on user's score in a particular system, and its potential implementation is demonstrated through a prototype design.