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User modeling for personalized Web search with self‐organizing map

Author

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  • Chen Ding
  • Jagdish C. Patra

Abstract

The widely used Web search engines index and recommend individual Web pages in response to a few keywords queries to assist users in locating relevant documents. However, the Web search engines give different users the same answer set, although the users may have different preferences. A personalized Web search would carry out the search for each user according to his or her preferences. To conduct the personalized Web search, the authors provide a novel approach to model the user profile with a self‐organizing map (SOM). Their results indicate that SOM is capable of helping the user to find the related category for each query used in the Web search to make a personalized Web search effective.

Suggested Citation

  • Chen Ding & Jagdish C. Patra, 2007. "User modeling for personalized Web search with self‐organizing map," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(4), pages 494-507, February.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:4:p:494-507
    DOI: 10.1002/asi.20497
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    Cited by:

    1. Mostafa, Mohamed M. & El-Masry, Ahmed A., 2013. "Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques," International Journal of Information Management, Elsevier, vol. 33(4), pages 627-641.
    2. Mohamed M. Mostafa, 2016. "Post-materialism, Religiosity, Political Orientation, Locus of Control and Concern for Global Warming: A Multilevel Analysis Across 40 Nations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1273-1298, September.

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