Bound Volume Number
Honors Capstone Project
Date of Submission
Dr. Jae Oh
Prof. Edmund Yu
Electrical Engineering and Computer Science
Engineering and Computer Science
Capstone Prize Winner
Won Capstone Funding
Sciences and Engineering
Management Information Systems
The web is a collection of interconnected documents and sites. A user will often jump not just from one site to another, but from one site to two or three others. How we explore the web is just as important as what we explore and what we discover as a result. In computer science, graphs are used to represent relationships between entities. By applying this concept to web tracking, graphs can capture the relationships between the sites we visit. We are building GraphTracker to tackle the difficult problem of tracking a user’s web activity. GraphTracker builds a “browsing graph” to track the content a user accesses, and models how the user navigates the web. The browsing graph maps out the web as the user experiences it, to represent the user’s personal browsing habits and interests. GraphTracker provides a valuable data source for modeling and understanding user behavior and makes that data source accessible, while also respecting user privacy.
Aziz, Kevin Daniel, "GraphTracker: A User Opt-in Approach to Web Tracking" (2015). Syracuse University Honors Program Capstone Projects. 905.
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