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Building Topic Profiles Based on Expert Profile Aggregation

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Advances in Web Intelligence (AWIC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2663))

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Abstract

In this work, we present a method to characterize a given topic on an Information Retrieval System based on expert user profiles. We start from a set of documents from which a set of characteristic terms is extracted. The presence of any term in each document is known and we want to establish the most significant ones in order to select relevant documents about a given topic ∏. For that purpose, a group of experts are required to assess the set of documents. The experts can query with the same terms (an unique query) to the system or with different terms (several queries). By aggregating these assessments with the weight associated to the terms, a topic profile can be obtained. An overview of these different situations and an experimental example are also presented.

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Authors and Affiliations

  1. Dept. of Computer Science and Artificial Intelligence, University of Granada, C/ Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, José M. Serrano & María-Amparo Vila

Authors
  1. Miguel Delgado
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  2. María J. Martín-Bautista
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  3. Daniel Sánchez
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  4. José M. Serrano
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  5. María-Amparo Vila
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Editors and Affiliations

  1. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660, Madrid, Spain

    Ernestina Menasalvas  & Javier Segovia  & 

  2. Institute of Computer Science, Technical University of Lodz, ul.Sterlinga 16/18, 90-217, Lodz, Poland

    Piotr S. Szczepaniak

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© 2003 Springer-Verlag Berlin Heidelberg

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Delgado, M., Martín-Bautista, M.J., Sánchez, D., Serrano, J.M., Vila, MA. (2003). Building Topic Profiles Based on Expert Profile Aggregation. In: Menasalvas, E., Segovia, J., Szczepaniak, P.S. (eds) Advances in Web Intelligence. AWIC 2003. Lecture Notes in Computer Science, vol 2663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44831-4_24

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  • DOI: https://doi.org/10.1007/3-540-44831-4_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40124-7

  • Online ISBN: 978-3-540-44831-0

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