Type of Culminating Activity

Graduate Student Project

Graduation Date

5-2017

Degree Title

Master of Science in Computer Science

Department

Computer Science

Major Advisor

Francesca Spezzano

Abstract

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.

Available for download on Friday, May 03, 2019

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