Profiling Players with Engagement Predictions

For instance, players with a very rapid in-game Nowadays most video games are played online and every progression (who reach a high level after a relatively short action by every player is recorded. This generates extremely playtime, regardless of their lifetime) and low spend might rich datasets that--with the aid of machine learning be overlooked by traditional segmentation methods due to techniques--can provide deep insights on user behavior, their lack of direct economic value; however, these are the including accurate predictions of the future actions of each most skillful players, and a careful study of their traits and player. Increasingly diverse demographics are now playing behavior--allowed by our approach--could provide developers games in a highly competitive market. Furthermore, we are with a lot of useful insights.