中文搜索引擎用户行为的演化分析

Dynamic Analysis of Chinese Search Engine User Behavior

搜索引擎已经成为人们生活和工作中不可或缺的信息获取工具,对于互联网信息的合理、充分利用发挥着至关重要的作用。用户行为分析一直是搜索引擎提升性能的重要途径,但当前的搜索用户行为分析技术多局限在较短时间段,缺乏对长期时间内用户行为的演化分析研究。基于商业搜索引擎提供的海量规模日志数据,对2006年到2011年间中文搜索引擎用户行为的演化规律进行了分析挖掘,从中得到的结论对于进行搜索技术未来发展方向的讨论具有一定的参考价值。

Search engine has been one of the most important information acquisition tools on the Web.To meet users＇ information needs,most commercial search engines rely on user behavior analysis to improve the performance of result ranking,data quality estimation,Web spam detection and other related techniques.However,these works seldom focus on long-term dynamic analysis of user behavior,which may be essential for both system architecture and user interface designing of future search techniques.Based on a large-scale user behavior data provided by a most popular Chinese search engine,search behavior between 2006 and 2011 was studied,producing many findings which may help us better understand how users grow with search engines.