A Study on Prediction of Balance Patch Standards for MOBA Genre Games (Focused on League of Legends Game)
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Today's game industry is in a trend of continuous growth. Game users are experiencing various game genres in this background, and they are also very interested in various activities to increase the winning rate in the game. Game users collect various information such as win rate and pick rate of game characters they enjoy through internet searches and show a lot of interest in balances of game players. It was judged that it will be helpful for users to utilize various balance patches and establish game strategies based on the standard in the process of exploring various balance-related studies if there is a standard for balancing the game and it is possible to predict the standard. This study focused on establishing the prediction criteria for balance patches, focusing on MOBA genre games where players' balance patches are recognized as important. In particular, it is very meaningful to present a system that can take into account the subsequent patch roadmap according to changes in character's characteristics, developer's patch comments, win rate and pick rate, etc. during the balance patch process. This will make it easier for developers to balance players and help players execute more efficient game strategies by predicting balance patches, transmitting beneficial information strategically to all stakeholders in MOBA genre games. make it easier for developers to balance players and help players execute more efficient game strategies by predicting balance patches, transmitting beneficial information strategically to all stakeholders in MOBA genre games. by predicting balance patches, transmitting beneficial information strategically to all stakeholders in MOBA genre games.
Abstract
Today's game industry is in a trend of continuous growth. Game users are experiencing various game genres in this background, and they are also very interested in various activities to increase the winning rate in the game. Game users collect various information such as win rate and pick rate of game characters they enjoy through internet searches and show a lot of interest in balances of game players. It was judged that it will be helpful for users to utilize various balance patches and establish game strategies based on the standard in the process of exploring various balance-related studies if there is a standard for balancing the game and it is possible to predict the standard. This study focused on establishing the prediction criteria for balance patches, focusing on MOBA genre games where players' balance patches are recognized as important. In particular, it is very meaningful to present a system that can take into account the subsequent patch roadmap according to changes in character's characteristics, developer's patch comments, win rate and pick rate, etc. during the balance patch process. This will make it easier for developers to balance players and help players execute more efficient game strategies by predicting balance patches, transmitting beneficial information strategically to all stakeholders in MOBA genre games. make it easier for developers to balance players and help players execute more efficient game strategies by predicting balance patches, transmitting beneficial information strategically to all stakeholders in MOBA genre games. by predicting balance patches, transmitting beneficial information strategically to all stakeholders in MOBA genre games.
참고문헌 (11)
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