Modeling Player Retention in Madden NFL 11
Modeling Player Retention in Madden NFL 11
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在《Madden NFL 11》中模拟球员保留率
DOI：
10.1609/aaai.v25i2.18864
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
A. Jhala
中科院分区：
文献类型：
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作者：
B. Weber;Michael John;Michael Mateas;A. Jhala
视频游戏越来越多地产生可用于分析的巨大数据集，这些数据集来自参与交互式环境的玩家。这些数据集可以大规模地调查单个玩家的行为，从而降低生产成本并提高玩家的保留率。我们提出了一种方法，在Madden NFL 11，一个商业足球比赛的球员保留建模。我们的方法将特定玩家的游戏模式编码为特征向量，并将玩家保留模型作为回归问题。通过建立一个准确的玩家留存模型，我们能够确定哪些游戏元素对保持活跃玩家最有影响力。我们的工具的结果是建议，这将被用来影响未来的标题在麦登NFL系列的设计。
Video games are increasingly producing huge datasets available for analysis resulting from players engaging in interactive environments. These datasets enable investigation of individual player behavior at a massive scale, which can lead to reduced production costs and improved player retention. We present an approach for modeling player retention in Madden NFL 11, a commercial football game. Our approach encodes gameplay patterns of specific players as feature vectors and models player retention as a regression problem. By building an accurate model of player retention, we are able to identify which gameplay elements are most influential in maintaining active players. The outcome of our tool is recommendations which will be used to influence the design of future titles in the Madden NFL series.