Time-sensitive trust calculation between social network friends for personalized recommendation

Abstract

When creating social recommender systems, trust between various users in social networks emerges as an essential decisive feature. This paper aims at calculating trust among users by identifying all possible relations that may exist among those users and evaluate them. Although many models were proposed to analyze computational trust in different applications of social web, little importance is given to the time factor even by models that represent trust as a source of recommendation measurement. Emphasized in this paper is the temporal factor and its role in improving the accuracy of trust in social recommender systems. We propose to integrate the temporal factor in measuring trust between social network friends. A Trusted Friends' Facebook application is developed to demonstrate the importance of time in the users' interactions for determining social trusted friends. After that, this application will be used in a semantic social tourism recommender system as a smart e-tourism tool to motivate users to travel to Tunisia for medical purposes.