Location Based and Customized Voice Information Service for Mobile Community

Soe-Tsyr Yuan () and Kai-Hsiang Peng
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Soe-Tsyr Yuan: National Chengchi University
Kai-Hsiang Peng: Fu-Jen University

Information Systems Frontiers, 2004, vol. 6, issue 4, No 2, 297-311

Abstract: Abstract Mobile commerce has been increasingly recognized as one of the most important prosperous areas for deploying information technology. This paper aims to advance the value of the information by providing a novel voice-information sharing mechanism that is a combination of a location-based information service (known as a Killer App) and a virtual community that consequently becomes a WCP (Wireless Content Provider). This community embodies context aware intelligence by analyzing the context-sensitive behavior of the community members and enabling proactive and precise context sensitive voice-information sharing; furthermore. This voice-information sharing mechanism is comprised of an IVR system, a location service, EPN (Euclidean distance with Positive and Negative Strength) Clustering, Naïve Bayesian Prediction, and a set of metrics for monitoring the progression of the community. The primitive results show that our mechanism satisfactorily reaches the goal of proactive precise sharing of voice information between community members.

Keywords: Mobile Community; Context-Aware; Naïve Bayesian; collaborative filtering; Mobile commerce (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1023/B:ISFI.0000046373.34677.05

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