Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  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.  report three major findings. First,  show that the game's point-scaling system overestimates performances of lor level players and underestimates performances of higher level players.  present a novel point-scaling system based on the game's player performance data that addresses the underestimation and overestimation problems. Second,  present a highly accurate predictive model for player performance as a function of past behavior. Third,  show that playing in groups impacts individual performance and that player-level characteristics alone are insufficient in explaining an individual's performance, which calls for a different set of performance metrics methods.
['Kyong Jin Shim', 'Muhammad Aurangzeb Ahmad', 'Nishith Pathak', 'Jaideep Srivastava']
I am writing a research paper on a idea Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs)
[{"from": "human", "value": "I am writing a research paper on a idea Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs)"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  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.  report three major findings. First,  show that the game's point-scaling system overestimates performances of lor level players and underestimates performances of higher level players.  present a novel point-scaling system based on the game's player performance data that addresses the underestimation and overestimation problems. Second,  present a highly accurate predictive model for player performance as a function of past behavior. Third,  show that playing in groups impacts individual performance and that player-level characteristics alone are insufficient in explaining an individual's performance, which calls for a different set of performance metrics methods."}]