Context-Aware Voice-Based Mobile Community

نویسنده

  • Kai-Hsiang Peng
چکیده

Mobile commerce has increasingly been recognized as one of the most significantly prosperous areas for deploying information technology. This paper aims to advance the value of the information by providing a novel voice-information sharing mechanism. The proposed mechanism 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; furthermore, enabling proactive and precise context sensitive voiceinformation sharing. 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 progress of the community. The primitive results show that our mechanism satisfactorily reaches the goal of proactive, precise sharing of voice information between community members.

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تاریخ انتشار 2002