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Mobile Information Filtering

Mobile Information Filtering

Witold Abramowicz, Krzysztof Banaskiewicz, Karol Wieloch, Pawel Zebrowski
Copyright: © 2006 |Pages: 6
ISBN13: 9781591407997|ISBN10: 1591407990|EISBN13: 9781591408000
DOI: 10.4018/978-1-59140-799-7.ch128
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MLA

Abramowicz, Witold, et al. "Mobile Information Filtering." Encyclopedia of E-Commerce, E-Government, and Mobile Commerce, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2006, pp. 799-804. https://doi.org/10.4018/978-1-59140-799-7.ch128

APA

Abramowicz, W., Banaskiewicz, K., Wieloch, K., & Zebrowski, P. (2006). Mobile Information Filtering. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of E-Commerce, E-Government, and Mobile Commerce (pp. 799-804). IGI Global. https://doi.org/10.4018/978-1-59140-799-7.ch128

Chicago

Abramowicz, Witold, et al. "Mobile Information Filtering." In Encyclopedia of E-Commerce, E-Government, and Mobile Commerce, edited by Mehdi Khosrow-Pour, D.B.A., 799-804. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-799-7.ch128

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Abstract

Information filtering techniques have been continuously developed to meet challenges arisen from new requirements of Information Society. These techniques gain even much more on importance in the facet of grater mobility of people. One of the most dynamic and compelling areas is the environment of wireless and mobile devices. Just recently, information filtering and retrieval have begun to take into consideration circumstances in which they are being used. As information needs of mobile users are highly dynamic, this points out the necessity of considering additional set of attributes describing user situation—context. This article presents an information filtering system for mobile users (mobileIF) being developed in the Department of Management Information Systems at The Pozna University of Economics. Architecture of the mobileIF is a result of research done in the field of contexts, their taxonomies and influence on information relevance in dynamic user’s environment. The paper shows our approach to contexts, discusses time perspective on filtering systems and finally, describes mobileIF architecture and basic data flow within it. At last, we present our current research in fields related to the mobileIF system.

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