A novel approach to trust-aware service recommendation

Abstract

The cloud computing paradigm has received more and more attention in both industry and academia. Its important premise is to select reliable services to meet user requirements. Following the recommendation technology applied to service selection, a trust relationship between users of social networks is adopted. However, users’ similarity is only computed on the basis of ratings by users on services. For this shortcoming, a similarity to the trust ratings among users is proposed in our approach where distrust information is also considered. A novel recommendation algorithm is presented. Finally, the Epinions data set is used to validate our method. Experimental results show the effectiveness of our approach.