Implementation of a New Recommendation System Based on Decision Tree Using Implicit Relevance Feedback

Abstract

Recommendation Systems (RSs) are used to provide users useful and effective suggestions. Effectiveness of RSs is depend on the quality of the suggestions. In this study, a new RS based on decision tree (DT) using implicit relevance feedback have been developed for movies. User behavior as implied relevance feedback is modeled by clickstreams. The DT constructed by Gini algorithm. The experimental results show that the developed method is successful for effective and useful suggestions.