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PERSONALIZED Source Selection Process: A Social Profile Adaptation Technique

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Intelligent Data Analysis and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 370))

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Abstract

The previous distributed information retrieval research based on the textual information defined new measures to improve the different process in the distributed information system, but neglected the use of the social information. From this point, we propose an approach which exploits the different social entities, to make a new profile adaptation technique, and to personalize the source selection process in a distributed information retrieval system.

The erratum of this chapter can be found under DOI 10.1007/978-3-319-21206-7_48

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-21206-7_48

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Notes

  1. 1.

    Flickr—Photo sharing, http://www.flickr.com/.

  2. 2.

    Delicious—Social bookmarking, http://delicious.com/.

  3. 3.

    http://grouplens.org/datasets/hetrec-2011/.

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Author information

Authors and Affiliations

  1. Computer Sciences Department University of Sciences and Technologies Houari Boumediene, BP 32 EL ALIA Bab Ezzouar, 16111, Algiers, Algeria

    Zakaria Saoud & Samir Kechid

Authors
  1. Zakaria Saoud
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  2. Samir Kechid
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Corresponding author

Correspondence to Zakaria Saoud .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Fujian University of Technology, Fujian, China

    Xin Hua Jiang

  3. Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  4. Fujian University of Technology, Fujian, China

    Jeng-Shyang Pan

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Saoud, Z., Kechid, S. (2015). PERSONALIZED Source Selection Process: A Social Profile Adaptation Technique. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-21206-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21205-0

  • Online ISBN: 978-3-319-21206-7

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