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.
Similar content being viewed by others
References
Brown PJ, Bovey JD, Chen X. Context-aware applications: From the laboratory to the marketplace. IEEE Personal Communications, 1997;4(5):58-64.
Chen YH, George EI. A Bayesian model for collaborative filtering. In: The Seventh International Workshop on Artificial Intelligence and Statistics, Fort Lauderdale, Florida, USA, 1999. Costa PT. http://www.personalityresearch.org/bigfive/costa.html, 2001.
Costa PT, McCrea RR. The five-factor model of personality and its relevance to personality disorders. Journal of Personality Disorders 1992;6:343-359.
Ericsson. http://www.ericsson.com.tw/ericsson/technology/t0605.htm, 2001.
Ester M, Kriege HP, Sander J, Xu X. A density-based algorithm for discovering clusters in large spatial databases. In: Proceedings of International Conference of Knowledge Discovery and Data Mining, Portland, OR, USA, 1996:226-231.
GSM Association. http://www.gsmworld.com/news/statistics/index.shtml, 2001.
ITU (International Telecommunication Union). http://www.itu.int/ti/ industryoverview/index.htm, 2001.
Keeter KH. Collaborative filtering: Community values, http:// www.ibm.com/services/innovation/etrcollaborative filtering.pdf, 2001.
Kim YH, Hahn SY, Zhang BT. Text filtering by boosting Naïve Bayes classifiers. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, Athens, Greece, 2000.
Lee WT. The personality of Taiwan children. Technical Report, National Pingtung Teachers College, Taiwan, 1999.
NTTDoCoMo. http://www.nttdocomo.com/html/subscriber growth.html, 2002.
Pennock D, Horvitz E. Collaborative filtering by personality diagno-sis: Ahybrid memory and model-based approach. In: The Sixteenth International Conference on Uncertainty in Artificial Intelligence, Stanford, CA, USA, 2000.
Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J. GroupLens: An open architecture for collaborative filtering of netnews. In: Proceedings of ACM Conference on Computer Supported Cooperative Work, New York, USA, 1994:175-186.
Resnick P, et al. GroupLens: An open architecture for collaborative filtering of netnews. In: Proceedings of ACM CSCW'94 Conference on Computer-Supported Cooperative Work, Chapel Hill, North Carolina, USA, 1994:175-186.
Rheingold H. Virtual Community: Homesteading on the Electronic Frontier. Cambridge: MIT Press, 2000.
Romm CT, Pliskin N, Clarke, RJ. Virtual communities and society: Toward an integrative three phase model. International Journal of Information Management 1997;14(4):261-270.
Tiwana A, Bush A. Peer-to-Peer valuation as mechanism for rein-forcing active learning in virtual communities: Actualizing social exchange theory. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, Hawaii, USA, 2000.
Wu YS. The research of the process in internet community knowledge sharing-illustrated by business teaching website, Master Thesis, Department of Master Business Administration, National Cheng Chi University, Taiwan, 2000.
Yam Co. A survey of Internet users in Taiwan. http://survey. yam.com/life2000/index.html, Yam Digital Technology, 2000.
Yang TY. The role of members in internet virtual community & the investigation of communication and interaction. Master Thesis, Department of Master Business Administration, National Chung Cheng University, Taiwan, 2000.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Yuan, ST., Peng, KH. Location Based and Customized Voice Information Service for Mobile Community. Information Systems Frontiers 6, 297–311 (2004). https://doi.org/10.1023/B:ISFI.0000046373.34677.05
Issue Date:
DOI: https://doi.org/10.1023/B:ISFI.0000046373.34677.05