Towards Mining of Player Intent for Targeted Gaming Services

Tridib Mukherjee, S. Eswaran
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引用次数: 2

Abstract

Mining and profiling intent of players is an important facet in today's online games for the gaming companies to take targeted actions and provide personalized services. While analyzing and predicting player behavior have been studied in the online gaming domain, investigating intent behind those behaviors from the data has not been studied. We introduce the problem of player intent mining. With the example of online Rummy, a popular card game in India, we show how specific behavior aspects of player over time plays a key role in identifying their intent. Through both supervised and unsupervised techniques we achieve reasonable accuracy in identifying the intent.
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为目标游戏服务挖掘玩家意图
挖掘和分析玩家的意图是当今在线游戏公司采取有针对性的行动和提供个性化服务的一个重要方面。虽然分析和预测玩家行为已经在在线游戏领域得到了研究,但从数据中调查这些行为背后的意图还没有得到研究。我们将介绍玩家意图挖掘的问题。以印度流行的卡牌游戏《Rummy》为例,我们展示了玩家的特定行为如何在识别其意图方面发挥关键作用。通过监督和非监督技术,我们在识别意图方面达到了合理的准确性。
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