Eunbi Seo  Jiyoung Woo  Huy Kang Kim

10.5626/JOK.2018.45.11.1124

user behavior analysis churn user prediction MMORPG Data Mining

Game users in MMORPGs engage in a variety of social activities. However, a few users tend to play games alone, and are designated ‘loners’ similar to modern society. We classified game guilds and game users based on similar user behaviors and community characteristics. We propose a model that predicts churn users by measuring the participation of users in each group. Users in each group show similar behavioral patterns, suggesting that we can classify churn users along with ordinary users. We tested this model for NCsoft’s MMORPG, Aion. Using Randomforest, the recall was measured at an average of 75%.