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HomeTechnology peripheralsAIKDD 2023 | Providing a data-driven decision support framework for player churn in online games

Recently, the top international conference KDD announced the results of paper acceptance. One of the papers with the theme of data-driven was successfully selected. The author is NetEase Fuxi. The research direction of this paper involves the fields of model interpretability, machine learning, data mining and knowledge discovery, bringing new highlights to data science. This achievement fully demonstrates NetEase Fuxi’s outstanding performance in technology and innovation strength.

KDD 2023 | 数据驱动的在线游戏玩家流失分析决策支持框架

The following is a summary of the selected papers:

"A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games"

Data-driven online game player churn analysis decision support framework

Online games are one of the most popular forms of entertainment today, but they also face the problem of player churn. serious challenge. In order to improve the quality and competitiveness of games, analyzing the reasons for player loss and taking effective measures has become an important topic for game developers and operators. In terms of churn analysis, a large amount of research resources have flowed into churn prediction. Thanks to the development of artificial intelligence technology, a high degree of accuracy can be achieved in the research process. However, in practice, due to the lack of specific decision support, game publishers are often unable to apply highly accurate prediction methods to prevent or mitigate churn. So is there a practical solution to the problem of gamer churn?

KDD 2023 | 数据驱动的在线游戏玩家流失分析决策支持框架

The framework mainly includes the following four innovation points:

1. New framework

designed the A complete XAI-based decision support framework (including prediction, explanation, evaluation and intervention), and its application to online games released by NetEase Games, received praise at the Game Developers Conference (GDC) and was considered innovative improvement. Compared with traditional churn prediction and analysis, this framework can not only provide highly accurate churn probability, but also analyze the churn reasons and risk levels of each player, and provide game developers with specific content improvements or interventions based on this information. Decision-making advice. In this way, game developers can more efficiently set personalized retention strategies for different types of lost players, thereby improving player satisfaction and loyalty.

KDD 2023 | 数据驱动的在线游戏玩家流失分析决策支持框架

In the field of data-driven decision support framework, NetEase Fuxi has always been at the forefront and has developed many practical tools to support its data research. Through the KDD conference, NetEase Fuxi successfully demonstrated its research results in the field of data-driven decision support framework, which was highly praised by experts and users. In the future, data intelligence will continue to drive all aspects of people's production and life. NetEase Fuxi will continue to expand the research direction of data-driven decision support frameworks, such as player experience-centered flow care systems, artificial intelligence companionship, super-anthropomorphic and super-warm teammates, etc., and will provide cutting-edge scenarios for more fields. technical solutions to create a better world.

About NetEase Fuxi

NetEase Fuxi was founded in 2017 and is a top domestic institution specializing in the research and application of AI in games and pan-entertainment. NetEase Fuxi has published more than 200 AI conference papers, holds more than 500 invention patents, and has leading technologies in multiple fields such as digital humans, intelligent face pinching, AI creation, AI anti-cheating, AI recommendation matching, and AI competitive robots. At present, NetEase Fuxi is opening up AI technology and products to industries such as games, cultural tourism, and entertainment. It has served more than 200 customers, and the average daily application calls exceed hundreds of millions of times.

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