E. O. M. M.

[Intro] ENGAGEMENT OPTIMIZED MATCHMAKING [Verse] E. O. M. M. provides a measurable and flexible matchmaking framework It has well-defined quantitative objectives it can be monitored. evaluated. improved. [Pre chorus] within the E. O. M. M. framework, the core building components, skill. model. churn. [Chorus] we employ churn prediction as an important building component in engagement OPTIMIZATION! [Verse] Player engagement can be seen as an objective measurement of user experience in games. Player engagement can be embodied by many specific metrics, such as time or money spent in the game, the number of matches played within a time window, or churn risk. We define churn risk as the proportion of total players stopping playing the game over a period of time. [Chorus] we employ churn prediction as an important building component in engagement OPTIMIZATION!