Recommendation system based on the discovery of meaningful categorical clusters

Abstract

We propose in this paper a recommendation system based on a new method of clusters discovery which allows a user to be present in several clusters in order to capture his different centres of interest. Our system takes advantage of content-based and collaborative recommendation approaches. The system is evaluated by using proxy server logs, and encouraging results were obtained.