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

  • Manuel de Buenaga Rodríguez
  • Manuel J. Maña López
  • Alberto Díaz Esteban
  • Pablo Gervás Gómez-Navarro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2109)


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.


Information dissemination short/long-term models multi-topic user profile adaptive user model personalized information service 


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  1. 1.
    Balabanovic, M.: An Interface for Learning Multi-topic User Profiles from Implicit Feedback. In: AAAI Workshop on Recommender Systems, Madison, Wisconsin (1998)Google Scholar
  2. 2.
    Billsus, D., Pazzani, M.J.: A Hybrid User Model for News Story Classification. In: Proceedings of the Seventh International Conference on User Modeling, Banff, Canada (1999)Google Scholar
  3. 3.
    Chen, L., Sycara, K.P.: WebMate: A Personal Agent for Browsing and Searching. In: Proceedings of the Second International Conference on Autonomous Agents, Minneapolis, (1998)Google Scholar
  4. 4.
    Díaz Esteban, A., Gervás Gómez-Navarro, P., García Jiménez, A.: Evaluating a User-Model Based Personalisation Architecture for Digital News Services. In: Proceedings of the Fourth European Conference on Research and Advanced Technology for Digital Libraries, Lisbon, Portugal (2000)Google Scholar
  5. 5.
    Lewis, D.D.: Representation and Learning in Information Retrieval. PhD Thesis, Technical Report UM-CS-1991-093, Department of Computer and Information Science, University of Massachussetts (1992)Google Scholar
  6. 6.
    Maña López, M.J., Buenaga Rodríguez, M., Gómez Hidalgo, J.M.: Using and Evaluating User Directed Summaries to Improve Information Access. In: Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries, Paris, France (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Manuel de Buenaga Rodríguez
    • 1
  • Manuel J. Maña López
    • 2
  • Alberto Díaz Esteban
    • 1
  • Pablo Gervás Gómez-Navarro
    • 3
  1. 1.Departamento de Inteligencia ArtificialUniversidad Europea de MadridMadridSpain
  2. 2.Departamento de InformáticaUniversidad de VigoOrenseSpain
  3. 3.Departamento de Sistemas Informáticos y ProgramaciónUniversidad ComplutenseMadridSpain

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