政府网站搜索系统的日志挖掘、行为分析及改进

 为提高政府网站的搜索质量并优化网站内容, 对某政府网站现有搜索系统进行二次开发, 增加了日志挖掘模块、行为分析模块、系统改进模块, 实现了对搜索系统日志挖掘和用户行为的分析处理。日志挖掘模块负责收集、过滤和识别用户的搜索操作记录;在行为分析模块, 根据操作记录从查询过程、聚类分析和查询热词3 个角度, 分析用户行为的特点和规律, 得到了待调整权重的网页和热点查询词等分析结果;在系统改进模块, 通过调整网页的权重使查询结果更加精准, 改善了搜索系统, 根据统计查询热词, 既提供了搜索热点等新功能, 又为用户提供了个性化网页并优化了政府网站的内容, 实现了与舆情系统的数据交互。通过这些优化和改进, 从多方面使搜索系统和政府网站能更好的为用户服务。

Log mining,behavioral analysis and improvement of government website search system

In this paper, secondary development was conducted on the search system of one e-government website by adding the log mining module, behavioral analysis module and system improvement module, to improve the search quality and optimize website content. Log mining, processing and analysis of user behaviors have been achieved in the improved search system. The log mining module is able to record, filter and identify the query log. The behavioral analysis module analyzes the characteristics and rules of user behaviors from three aspects including the query process, clustering analysis and hotspot query words, and obtains the results of weights of the webpage and hotspot query words. The system improvement module makes the query results more precise, provides new function of search hotspot and personalized webpage, improves the content of e-government website, and exchanges the data with public opinion system. In this way, the search system and e-government websites will provide users with better service.