Date of Submission
Academic Programs and Concentrations
Project Advisor 1
This project sought to find a reasonable predictor of web page relevancy. Software was created to collect and visualize a variety of data pertaining to a user’s web browsing. A version of this software was used to collect data from 14 volunteers who browsed the web for three hours. The software used also surveyed volunteers about whether the pages they visited were relevant or not relevant. Comparing the data from pages which were deemed relevant by the volunteers to pages deemed not relevant we found several aspects of the data predicted page relevancy with a high degree of confidence. We concluded the best predictor was view time, or the total amount of time a user spent viewing a page.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Korte, Elliot Bryan Eugenio, "Browsing Data as a Predictor of Web Page Relevancy" (2014). Senior Projects Spring 2014. 80.