Type of Culminating Activity
Graduate Student Project
Master of Science in Computer Science
In this project, we focus on English Wikipedia, one of the main user-contributed content systems, and study the problem of predicting what users will become inactive and stop contributing to the encyclopedia. We propose a predictive model leveraging frequent patterns appearing in user’s editing behavior as features to predict active vs. inactive Wikipedia users. Our experiments show that our method can effectively predict inactive users with an AUROC of 0.97 and significantly beats competitors in the task of early prediction of inactive users. Moreover, we study differences in editing behavior of inactive vs. active users to explain why some users are leaving and provide some rules explaining our predictive model.
Arelli, Harish, "Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia" (2017). Computer Science Graduate Projects and Theses. 15.
Available for download on Friday, May 03, 2019