Research in Search Engine User Behavior Based on Log Analysis
Huijia Yu, Yiqun Liu, Min Zhang, Liyun Ru, Shaoping Ma · Zhongwen xinxi xuebao · 2004
User log analysis is important for both Web information retrieval technologies and commercial search engine algorithms. In order to better understand search behavior of Chinese Web search users, we presents an analysis of Sogou Search Engine query log consisting of approximately 50 million entries for search requests over a period of one month. The analysis includes search retrieval behavior in individual queries distribution, user request customs in the same session and whether using advanced search functions. Conclusions may help improve Web information retrieval algorithms and search performance evaluation methods.