In many e-commerce sites, recommender systems, which provide personalized recommendations from among a large number of items, have recently been introduced. Collaborative filtering is one of the most successful algorithms which provide recommendations using ratings of users on items. There are...

Intelligent recommendation systems can be based on two basic principles: collaborative filters and individual-based models. In this work we examine the learning function that results from these two general types of learning smart agents. There has been significant work on the predictive...