ADAPTIVE AND CONTEXT-SENSITIVE INFORMATION RETRIEVAL

Axel-Cyrille Ngonga Ngomo
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Axel-Cyrille Ngonga Ngomo: University of Leipzig, Department of Computer Sciences, Augustusplatz 10-11, 04109 Leipzig, Germany

Chapter 19 in Creating Collaborative Advantage Through Knowledge and Innovation, 2007, pp 289-300 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractRetrieving 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.

Keywords: Collaboration Innovation; Knowledge Creation; Relationship; Social Networks; Knowledge Discovery; Knowledge Organization (search for similar items in EconPapers)
Date: 2007
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