Adaptive Decision Support System Using Web-Users Profile Data

Abstract

For most of us the term Web user profile should contain user’s URL address, sometimes user’s name and e-mail address, and some other components such as employee$\check{\rm S}$s region and home organization if the user belongs to some company. However, when we think on a Web-based patient education that allows for the delivery of educational content to the patient, or on e-learning communities and on a system that serves each individual of the community, this information may not be sufficient. In the latter case the user profile should contain personal preferences of the individual, goals and needs, as well as the history of activity in the community, while in the former - patient parameters describing user’s history, results of recent examinations, type of disease and so on. If mobile communicators are used (i.e. WAP) the CC/PP profile appears which is a more complex collection of capabilities and preferences associated with the user such as the user’s position (which can change with time), and the characteristic of the user’s hardware (e.g.phone).