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Adaptive And Context-Sensitive Information Retrieval

In: Creating Collaborative Advantage Through Knowledge And Innovation

Author

Listed:
  • Axel-Cyrille Ngonga Ngomo

    (University of Leipzig, Department of Computer Sciences, Augustusplatz 10-11, 04109 Leipzig, Germany)

Abstract

Retrieving information stored electronically has become a more and more time consuming task, especially in IT-driven companies. We assume this is partially due to the commonly accepted “one-fits-all” construction of search engines. In order to increase the quality of Information Retrieval (IR) in the company environment, we developed a system that increases the accuracy of standard IR engines by two means: One, expanding user queries using a description of the user context and two, learning terms describing user contexts out of implicit user feedback. This paper presents a formal description of the architecture of the system, the implementation details, and our results.

Suggested Citation

  • Axel-Cyrille Ngonga Ngomo, 2007. "Adaptive And Context-Sensitive Information Retrieval," World Scientific Book Chapters, in: Suliman Hawamdeh (ed.), Creating Collaborative Advantage Through Knowledge And Innovation, chapter 19, pages 289-300, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812707482_0019
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