智能分类算法在游戏故障告警中的应用

Application of Intelligent Classification Algorithm in Game Alarm

在游戏运维领域,为了充分挖掘游戏用户在反馈故障时的意图,运用自然语言处理的手段对记录故障事件的文本进行分类,可以减少告警的误判发布更具价值的告警.本文提出一种面向突发告警事件的智能分类算法,首先分析用户反馈文本数据的各项特征,然后对数据利用半自动构建的语义映射工具进行概率计算,从而形成有效的告警类别.将此方法应用到企业级业务故障定位中,能更有针对性地发布告警,收敛无关告警,支撑运维人员更快速准确地定位到故障原因.实验结果表明,基于语义映射的智能分类算法能够有效地提高告警的针对性,比简单的文本分类算法具有更好的结果.

Natural language processing techniques have been confirmed to well classify the alarm messages based on the user intents.In this study,we propose an intelligent classification algorithm for burst alarm events.First,we analyze the features of user feedback text data.We then present a semi-automatic semantic mapping tool to calculate the probability,so as to form a valid alarm category.By application this method into the enterprise fault location,it takes advantages of（1）releasing alarms upon different user intents;（2）reducing the alarm miscalculation;and（3）helping game operation personnel accurately and quickly locating the reasons of the fault.The experimental results show that the intelligent classification algorithm based on semantic mapping can effectively improve the performance of the alarm distribution,and achieves better results than the simply algorithm for text categorization.