Elements of an effective portal

Abstract

This thesis proposes an approach for rule-based personalization system. Through analyzing the based characters of rule-based personalization systems, this project decomposes the rules and provides a kind of atomic components named rule item. Users can use rule items to make up of rules for their own personalized profile. On the other hand, the system also traces the "mouse trails" to silently follow the visitors of the web site and finds the relationships between the actions of visitors. Based on these relationships, the system will automatically generate the rules for each visitor using the rule items according to his habit.