Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs)

• Main Authors: SHIM, Kyong Jin, AHMAD, Muhammad Aurangzeb, PATHAK, Nishith, SRIVASTAVA, Jaideep
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2009
• 主題: Databases and Information Systems; Numerical Analysis and Scientific Computing
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/1501; https://ink.library.smu.edu.sg/context/sis_research/article/2500/viewcontent/3823f199.pdf

This paper examines online player performance in EverQuest II, a popular massively multiplayer online role-playing game (MMORPG) developed by Sony Online Entertainment. The study uses the game's player performance data to devise performance metrics for online players. We report three major find...