چکیده مقاله
By growing the e commerce sites, a new challenge is information overload The problem refers to huge information about items, users and activities, which makefollowing of the information flow in real world impossible Recommender systems help users to find interested items in huge databases in e commerce sites faster and easier Variety techniques have been proposed for performing recommendation, including collaborative filtering, contentbased, demographic filtering and hybrid methods Although collaborative filtering is the most successful technology for recommender systems, it suffers from several inherent issues such as data sparsity, cold start, accuracy and malicious attacks Trust based approaches use trustworthiness as a factor to solve traditional problems and improve recommendation results Based on previous researches, trust may be global or local, explicit or implicit, and be measured based on friendship, membership, social activity or other methods In this paper we discuss about different trust aspects and categories of trust based approaches We will also review by detail on the most important trust based approaches andwill discuss about them
کلیدواژهها
نویسندگان
Morteza Ghorbani Moghaddam
Faculty of Computer science University Putra Malaysia UPM
Nurfadhlina Mohd Sharef
Faculty of Computer science University Putra Malaysia UPM
Anousheh Elahian
Faculty of Information Technology Virtual University of Shiraz VUS Shiraz, Iran
شیوه ارجاع
Ghorbani Moghaddam, Morteza and Mohd Sharef, Nurfadhlina and Elahian, Anousheh,1393,A Review on Trust-based Recommender Systems,8th International Conference on e-Commerce with focus on E-Trust,Mashhad
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