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An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems

An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems

Adam Grzywaczewski, Rahat Iqbal, Anne James, John Halloran
Copyright: © 2009 |Volume: 1 |Issue: 4 |Pages: 22
ISSN: 1937-965X|EISSN: 1937-9668|ISSN: 1937-965X|EISBN13: 9781616920791|EISSN: 1937-9668|DOI: 10.4018/japuc.2009100105
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MLA

Grzywaczewski, Adam, et al. "An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems." IJAPUC vol.1, no.4 2009: pp.69-90. http://doi.org/10.4018/japuc.2009100105

APA

Grzywaczewski, A., Iqbal, R., James, A., & Halloran, J. (2009). An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems. International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 1(4), 69-90. http://doi.org/10.4018/japuc.2009100105

Chicago

Grzywaczewski, Adam, et al. "An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 1, no.4: 69-90. http://doi.org/10.4018/japuc.2009100105

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Abstract

Users interact with the Internet in dynamic environments that require the IR system to be context aware. Modern IR systems take advantage of user location, browsing history or previous interaction patterns, but a significant number of contextual factors that impact the user information retrieval process are not yet available. Parameters like the emotional state of the user and user domain expertise affect the user experience significantly but are not understood by IR systems. This article presents results of a user study that simplifies the way context in IR and its role in the systems’ efficiency is perceived. The study supports the hypothesis that the number of user interaction contexts and the problems that a particular user is trying to solve is related to lifestyle. Therefore, the IR system’s perception of the interaction context can be reduced to a finite set of frequent user interactions.

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