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User Profiles Modeling in Information Retrieval Systems

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Emergent Web Intelligence: Advanced Information Retrieval

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

Abstract

The requirements imposed on information retrieval systems are increasing steadily. The vast number of documents in today’s large databases and especially on the World Wide Web causes problems when searching for concrete information. It is difficult to find satisfactory information that accurately matches user information needs even if it is present in the database. One of the key elements when searching the web is proper formulation of user queries. Search effectiveness can be seen as the accuracy of matching user information needs against the retrieved information. As step towards better search systems represents personalized search based on user profiles. Personalized search applications can notably contribute to the improvement of web search effectiveness. This chapter presents design and experiments with an information retrieval system utilizing user profiles, fuzzy information retrieval and genetic algorithms for improvement of web search.

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Notes

  1. 1.

    Available at: http://www.dcs.gla.ac.uk/idom/ir_resources/test_collections/

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB, Technical University of Ostrava, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic

    Václav Snášel, Jan Platoš & Pavel Krömer

  2. Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, O.S. Bragstads plass 2E, 7491, Trondheim, Norway

    Ajith Abraham

  3. Department of Computer Science, Faculty of Information Technology, Applied Science University, Amman, 11931, Jordan

    Suhail Owais

Authors
  1. Václav Snášel
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  2. Ajith Abraham
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  3. Suhail Owais
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  4. Jan Platoš
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  5. Pavel Krömer
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Corresponding author

Correspondence to Václav Snášel .

Editor information

Editors and Affiliations

  1. Fac. Sciences Mirande, Université de Bourgogne, Dijon CX, France

    Richard Chbeir

  2. INSA de Lyon, avenue Jean Capelle 7, Villeurbanne CX, 69621, France

    Youakim Badr

  3. Technology, Norwegian University of Science &, O.S. Bragstads plass 2E, Trondheim, 7491, Norway

    Ajith Abraham

  4. College of Business & Administration, Kuwait University, Safat, Kuwait

    Aboul-Ella Hassanien

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Snášel, V., Abraham, A., Owais, S., Platoš, J., Krömer, P. (2010). User Profiles Modeling in Information Retrieval Systems. In: Chbeir, R., Badr, Y., Abraham, A., Hassanien, AE. (eds) Emergent Web Intelligence: Advanced Information Retrieval. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84996-074-8_7

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  • DOI: https://doi.org/10.1007/978-1-84996-074-8_7

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  • Online ISBN: 978-1-84996-074-8

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