B. Hassanpour
Department of Electrical, Computer and IT Engineering, Qazvin Islamic Azad University, Qazvin, Iran.
[ 1 ] - Improving Accuracy of Recommender Systems using Social Network Information and Longitudinal Data
The rapid development of technology, the Internet, and the development of electronic commerce have led to the emergence of recommender systems. These systems will assist the users in finding and selecting their desired items. The accuracy of the advice in recommender systems is one of the main challenges of these systems. Regarding the fuzzy systems capabilities in determining the borders of us...
نویسندگان همکار