Modeling the Browsing Behavior of World Wide Web Users

Modeling the Browsing Behavior of World Wide Web Users

The World Wide Web is essential to general public nowadays. From a data analysis viewpoint, it provides rich opportunities to gather observational data on a large-scale. This paper focuses on modeling the behavior of visitors to an academic website. Although the conventional probability models, which were used by other literature for fitting in a commercial web site, capture the power law behav...

Collaborative Browsing in the World Wide Web

The World Wide Web (WWW) is today the most successful service of the Internet. The richness of information available combined with easy access to this information makes it a premier information gathering tool for researchers and consumers, however, the model of today’s WWW does not include the users. The WWW is a purely information focused environment, consisting of documents and links between ...

Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques

This paper focuses on modeling users’ cognitive styles based on a set of Web usage mining techniques on user navigation patterns and clickstream data. Main aim is to investigate whether specific clustering techniques can group users of particular cognitive style using measures obtained from psychometric tests and content navigation behavior. Three navigation metrics are proposed and utilized to...

BROADWAY: A World Wide Web Browsing Advisor Reusing Past Navigations from a Group of Users

The World Wide Web is a huge hypermedia where finding relevant documents is not an easy task. In this paper, we present our case-based browsing advisor, called BROADWAY. BROADWAY follows a group of users during their navigations on the WWW (proxy-based architecture) and advise them by displaying a list of potentially relevant documents to visit next. BROADWAY uses case-based reasoning to reuse ...

Using Graphic History in Browsing the World Wide Web