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A Semantic-Based Personalized Information Retrieval Approach Using a Geo-Social User Profile

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Book cover Database and Expert Systems Applications (DEXA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 903))

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Abstract

The user’s search history includes some latent semantics that can be used to improve the user’s interests representation. In this paper we present a personalized information retrieval approach that highlights and use this latent semantics. This semantics, which we call personal semantics, is expressed by the different co-occurrence relationships between relevant terms, according to the different user’s search contexts. This personal semantics is integrated in a geo-social user profile for giving it more representativeness of the user interests. Then, to improve the search results relevance, the user profile is used to reformulate the user query for broadening the search scope without going further than the user needs.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Medea, Medea, Algeria

    Tahar Rafa

  2. LRIA Laboratory, Department of Computer Science, USTHB, Algiers, Algeria

    Samir Kechid

Authors
  1. Tahar Rafa
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  2. Samir Kechid
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Corresponding author

Correspondence to Tahar Rafa .

Editor information

Editors and Affiliations

  1. University of Tunis, Tunis, Tunisia

    Mourad Elloumi

  2. MiCS, Media Computer Science, University of Passau, Passau, Bayern, Germany

    Michael Granitzer

  3. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  4. University of Twente, Enschede, Overijssel, The Netherlands

    Christin Seifert

  5. Fak. Medien, Bauhaus Universität Weimar, Weimar, Thüringen, Germany

    Benno Stein

  6. Inst. für Softwaretechnik, Vienna University of Technology, Vienna, Austria

    A Min Tjoa

  7. FAW, Johannes Kepler University of Linz, Linz, Austria

    Roland Wagner

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Rafa, T., Kechid, S. (2018). A Semantic-Based Personalized Information Retrieval Approach Using a Geo-Social User Profile. In: Elloumi, M., et al. Database and Expert Systems Applications. DEXA 2018. Communications in Computer and Information Science, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-319-99133-7_25

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  • DOI: https://doi.org/10.1007/978-3-319-99133-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99132-0

  • Online ISBN: 978-3-319-99133-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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