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Conference Paper MOBA 게임에 대한 플레이어 프로파일 생성 방법
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Authors
박성윤, 김대욱, 이상광
Issue Date
2023-06
Citation
대한전자공학회 학술 대회 (하계) 2023, pp.2190-2193
Publisher
대한전자공학회
Language
Korean
Type
Conference Paper
Abstract
League of Legends (LoL), a representative game within the esports industry, continues growth in its global user base. This increase in popularity demands enhanced performance from professional players, however, there has been a lack of analysis concerning the play style of players, utilizing the substantial volume of match data available. To address this issue, we propose a scheme for profiling players utilizing six manually defined features within MASTER tier from KR, LA1, and BR1 servers in LoL game. Furthermore, we identify six distinct, intuitively comprehensible features that are unrelated to a player’s level of proficiency. In conclusion, we provide a comparative assessment of the generated profiles across the three servers.