Putting forecasting skills into websites: personalized prevention of high risk events

Authors:
Silvano Mussi
Affiliations:
CILEA, Interuniversity Consortium for Information and Communication Technologies, Segrate, Milan, Italy
Venue:
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Year:
2005

Citing 7
Cited 0

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Bayesian Networks and Decision Graphs

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Abstract

A formidable synergy can be obtained by putting expert systems technology into Websites. Websites should be able to infer hypotheses about the present and the future. Websites endowed with inference capabilities are able to provide users with advanced services that enhance their competitiveness. In particular, a Website able to hypothesize future situations may be useful in many important fields: e-marketing, e-recruitment, e-learning, etc. The paper presents a method for endowing Websites with forecasting skills based on Dynamic Bayesian Networks. In particular, the paper addresses the theme of the personalized prevention of high risk events.