Bound Volume Number
X
Degree Type
Honors Capstone Project
Date of Submission
Spring 5-5-2015
Capstone Advisor
Dr. Jae Oh
Honors Reader
Prof. Edmund Yu
Capstone Major
Electrical Engineering and Computer Science
Capstone College
Engineering and Computer Science
Audio/Visual Component
no
Capstone Prize Winner
no
Won Capstone Funding
no
Honors Categories
Sciences and Engineering
Subject Categories
Management Information Systems
Abstract
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.
Recommended Citation
Aziz, Kevin Daniel, "GraphTracker: A User Opt-in Approach to Web Tracking" (2015). Renée Crown University Honors Thesis Projects - All. 905.
https://surface.syr.edu/honors_capstone/905
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
