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.
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Durand, N., Lancieri, L., Crémilleux, B. (2003). Recommendation System Based on the Discovery of Meaningful Categorical Clusters. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_114
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DOI: https://doi.org/10.1007/978-3-540-45224-9_114
Publisher Name: Springer, Berlin, Heidelberg
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