Personalized Recommendation Systems: An Application in Case-based Reasoning

Abstract

This paper explores the application of case-based reasoning (CBR) to personal recommender system. The proposed approach incorporates users’ characteristics as well as the object’s attributes. Important aspects of the approach are similarity determination and case retrieval techniques are described. It is proposed that such a focus can lead to more effective personal recommendation system. This paper focused on the case similarity determining tactics and case retrieval tactics.