Context-Aware Voice-Based Mobile Community

• Main Authors: Kai-Hsiang Peng, 彭愷翔
• Other Authors: Soe-Tsyr Yuan
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/54097637941231297615

碩士 === 輔仁大學 === 資訊管理學系 === 90 === 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 captures users’ preference by analyzing the context-sensitive behavior of the community members. With the preference of the members, voice-information sharing intends to become proactive and precise; furthermore, relevant product promotion can be subsequently deployed in order to reach the objective of an efficient market. 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.