A User Model Based on Content Analysis for the Intelligent Personalization of a News Service

  • Authors:
  • Manuel de Buenaga Rodríguez;Manuel J. Maña López;Alberto Díaz Esteban;Pablo Gervás Gómez-Navarro

  • Affiliations:
  • -;-;-;-

  • Venue:
  • UM '01 Proceedings of the 8th International Conference on User Modeling 2001
  • Year:
  • 2001

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Abstract

In this paper we present a methodology designed to improve the intelligent personalization of news services. Our methodology integrates textual content analysis tasks to achieve an elaborate user model, which represents separately short-term needs and long-term multi-topic interests. The characterization of user's interests includes his preferences about content, using a wide coverage and non-specific-domain classification of topics, and structure (newspaper sections). The application of implicit feedback allows a proper and dynamic personalization.