《Improving Recommender System#39;s Efficiency Using Time Context and》.pdf

Improving Recommender Systems Efficiency Using Time Context and Group Preferences Mohammad Julashokri, Mohammad Fathian, Mohammad Reza Gholamian, Ahmad Mehrbod Advances in Information Sciences and Service Sciences. Volume 3, Number 4, May 2011 Improving Recommender Systems Efficiency Using Time Context and Group Preferences 1 2 Mohammad Julashokri, Mohammad Fathian, 3 4 Mohammad Reza Gholamian, Ahmad Mehrbod 1, First Author Iran University of science and technology, julashokri@ind.iust.ac.ir 2, Iran University of science and technology, fathian@iust.ac.ir 3, Iran University of science and technology, gholamian@iust.ac.ir 4, Isfahan University of technology, mehrbod@cc.iut.ac.ir doi:10.4156/aiss.vol3.issue4.20 Abstract By the expanse of internet stores and products, recommender systems have emerged to increase store attractiveness and develop online customers. Recommender systems are systems which help customers to find product that they want. These systems recommend product to individual customer according to their preferences and interests. Recommender systems use several ways such as collaborative filtering and content-based filtering to create recommendation. In this study we proposed