Exploring the Effective Search Context for the User in an Interactive and Adaptive Way (original) (raw)

Abstract

The explosive growth of information on the web demands effective intelligent search and filtering methods. Consequently, techniques have been developed that extract conceptual information from the document and use the conceptual information in the user profile to form part of the user’s information intent from his/her query. In a similar vein, we build the profile without user interaction, automatically monitoring the user’s browsing habits. These profiles, in turn, are used to automatically learn the semantic context of user’s information need. These sets of categories can serve as a context to disambiguate the words in the user’s query. In this paper, we present a framework for assisting the user in one of the most difficult information retrieval tasks, i.e., that of formulating an effective search query. Our experimental results show that implicit measurements of user interests, combined with the semantic knowledge embedded in a concept hierarchy, can be used effectively to infer the user context and to improve the results of information retrieval.

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Author information

Authors and Affiliations

  1. Intelligent E-Commerce Systems Laboratory, School of Computer and Information Engineering, Inha University, Yonghyun-Dong, Nam-Gu, Incheon, 402-751, Korea
    Supratip Ghose & Jason J. Jung
  2. School of Computer and Information Engineering, Inha University, Yonghyun-Dong, Nam-Gu, Incheon, 402-751, Korea
    Geun-Sik Jo

Authors

  1. Supratip Ghose
  2. Jason J. Jung
  3. Geun-Sik Jo

Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia
    Rajiv Khosla
  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK
    Robert J. Howlett
  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia
    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Ghose, S., Jung, J.J., Jo, GS. (2005). Exploring the Effective Search Context for the User in an Interactive and Adaptive Way. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939\_119

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