一种日志数据分析方法及系统

• Format: Patent
• Language: Chinese
• Published: 14.05.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

本申请提供一种日志数据分析方法及系统。一种日志数据分析系统，包括：兴趣主题分类模块、日志数据获取模块、正负面热度值计算模块、用户活跃度评分模块、正负面热度值模拟模块、用户活跃度评分预测模块、误差异常告警模块和最佳模拟正负面热度值输出模块。本申请通过历史用户日志数据构建平台内以正负面博文热度值为影响因素的用户活跃度评分模型，以上一个时间周期的正负面博文热度值为基数，根据用户活跃度评分模型对本时间周期的用户活跃度进行模拟预测，辅助平台人员调整正负面博文的推送策略，提高平台用户的活跃度。 The invention provides a log data analysis method and system. A log data analysis system comprises an interest subject classification module, a log data acquisition module, a positive and negative heat value calculation module, a user activeness scoring module, a positive and negative heat value simulation module, a user activeness scoring prediction module, an error abnormity alarm module and an optimal simulation positive and negative heat value output module. According to the method, the user activeness scoring model taking the positive and negative blog article popularity values as influence factors in the platform is constructed through the historical user log data, the positive and negative blog article popularity values of the previous time period are taken as a