چکیده مقاله
These days, due to growing the e commerce sites, access to information about items is easier than past But because of huge amount of information, we need new filteringtechniques to find interested information faster and more accurate Therefore Recommender Systems RS introduced for solving this problem Although several recommender approaches have proposed, Collaborative Filtering CF approaches are the most successful ones These approaches use historical behaviors of users for making recommendation Next generation of CF, called Trust based CF, use social relations and activities for measuring trust between users One important step in these approaches is measuring the similarity between users, which affect recommendation results Therefore variety methods for this reason have been proposed In this paper, we will review and categorize the measurement methods We will also analyze the methods to identify their characteristics, benefits and drawbacks
کلیدواژهها
نویسندگان
Morteza Ghorbani Moghaddam
Faculty of Computer science University Putra Malaysia UPM
Mustapha Norwati
Faculty of Computer science University Putra Malaysia UPM
Aida Mustapha
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 Norwati, Mustapha and Mustapha, Aida and Elahian, Anousheh,1393,A Review on Similarity Measurement Methods inTrust-based Recommender Systems,8th International Conference on e-Commerce with focus on E-Trust,Mashhad
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