A collaborative filtering algorithm based on global and domain authorities

Abstract

Collaborative filtering has been very successful in both applications and researches. In real situation, different users may have different influences on other users' decisions. Those authoritative users usually play more important roles. But few existing collaborative filtering algorithms consider the authorities of users. In this paper, we present the concepts of global and domain authorities of users, and apply them in collaborative filtering algorithms. This paper designs the experiments and discusses the effects of global and domain authorities. The initial results show our method can improve the performance of collaborative filtering algorithm. © 2008 Springer Berlin Heidelberg.