Abstract
The application of clustering techniques in recommendation systems is discussed in the present article, specifically in a journalistic context, where multiple users have access to categorized news. The aim of this paper is to present an approach to recommend news to the readers of an electronic journal according to their profile, i.e. the record of news accessed. The Aspect Model, as well as the K-Means clustering algorithm are applied to this problem and compared empirically. © 2010 Springer-Verlag.
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Cleger-Tamayo, S., Fernández-Luna, J. M., Huete, J. F., Pérez-Vázquez, R., & Rodríguez Cano, J. C. (2010). A proposal for news recommendation based on clustering techniques. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6098 LNAI, pp. 478–487). https://doi.org/10.1007/978-3-642-13033-5_49
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