Faculty Advisor

Wills, Craig E

Abstract

User interest in content on a webpage is an important factor for making business decisions and improving user experience. Explicit ratings are often used as a measure of interest. However, obtaining explicit ratings is problematic because it disrupts the user's browsing experience. Implicit ratings allow a website to recognize indicators of interest by observing the behaviors of a user. This project attempted to identify implicit indicators of interest. A social news site was deployed with specialized software to track clicks, mouse movement, total time in addition to other metrics. Using the data collected by the website, the explicit and implicit ratings were compared and we found that time spent on page and link clicks were the best indicators of interest.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2011

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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