The Adaptive Webbrowser: Problem Statement

Name	The Adaptive Webbrowser: Problem Statement
Description	The main problem to be addressed in this adaptive system is how to give advice to the user about the interestingness of a website, and on what data this advice should be based. The only data available is a list of websites visited by the user, and a corresponding list of ratings. Using this data, the system must be able to predict whether a webpage is interesting or not, which can be regarded as learning a continous function with a firm threshhold, determining when to recommend a page. If the system is wrong, it has to learn from its mistakes. To show its advice to the user, the browser adds a small in front of the link. A is added to show a negative advice. See Figure 5: click to enlarge Figure 5. The adaptive webbrowser shows its advice to the user
Case Study	The Adaptive Webbrowser Case