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Automatic Adaptation and Recommendation of News Reports Using Surface-Based Methods

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Book cover Highlights on Practical Applications of Agents and Multi-Agent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 156))

Abstract

The multitude of news reports being published on the WWW may cause information overload on users. In this paper, we describe a news recommendation system whereby news reports are represented using entity-relationship graphs, and the users’ interaction with these news reports in a specialised web portal is monitored in order to construct and maintain user models that store the user’s reading history and also define entities that appear to be of interest to the user. These user models are used to alert individual users when an event has occurred that falls within their area of interest, and to present news reports to users in an adaptive manner – previously seen information is shown in a summarised form. We evaluated our recommendation system using a corpus of news reports downloaded from Yahoo! News. Results obtained indicate that our recommendation system performs better than the baseline system that uses the Rocchio algorithm without negative feedback.

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Authors and Affiliations

  1. Faculty of ICT, University of Malta, Msida, Malta

    Joel Azzopardi & Christopher Staff

Authors
  1. Joel Azzopardi
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  2. Christopher Staff
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Corresponding author

Correspondence to Joel Azzopardi .

Editor information

Editors and Affiliations

  1. Escuela Universitaria de Informática, Universidad Pontificia de Salamanca, Compañía 5, Salamanca, 37002, Spain

    Javier Bajo Pérez

  2. , Facultad de Informática, Universidad Pontificia de Salamanca, Compañía 5, Salamanca, 37002, Spain

    Miguel A. Sánchez

  3. Technologies de Lille, LIFL UMR CNRS 8022, Université des Sciences et, Bâtiment M3 (extension), Villeneuve d’Ascq, 59655, France

    Philippe Mathieu

  4. Faculty of Science, Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    Juan M. Corchado Rodríguez

  5. , LAMIH (UMR CNRS 8530), Universite de Valenciennes, Le Mont Houy, Valenciennes, 59313, France

    Emmanuel Adam

  6. , Departamento de Ingeniería, Ciudad Universitaria de Cantoblanco, Madrid, 28049, Spain

    Alfonso Ortega

  7. Universidad de Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain

    María N. Moreno

  8. , Departamento de Informática, University of Castilla-La Mancha, Campus Universitario s/n, Albacete, 02071, Spain

    Elena Navarro

  9. EBTIC, Khalifa University, Abu Dhabi Campus, Abu Dhabi, Utd.Arab.Emir.

    Benjamin Hirsch

  10. , Departamento de Engenharia Informática, Universidade do Porto, Rua Dr. Roberto Frias, s/n, Porto, 4200-465, Portugal

    Henrique Lopes-Cardoso

  11. Universidad Politécnica de Valencia, Camino de Vera s/n, Valencia, 46022, Spain

    Vicente Julián

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Azzopardi, J., Staff, C. (2012). Automatic Adaptation and Recommendation of News Reports Using Surface-Based Methods. In: Pérez, J., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28762-6_9

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  • DOI: https://doi.org/10.1007/978-3-642-28762-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28761-9

  • Online ISBN: 978-3-642-28762-6

  • eBook Packages: EngineeringEngineering (R0)

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