Abstract：By mining semantic relation between Web log query terms, this paper puts the HowNet semantic knowledge into clustering algorithm to achieve search engine optimization.In order to understand user needs better, the method uses machine learning algorithms to analyze query log deeply,and puts query items into the depth of analysis.The paper makes the back page more reasonable and presents more accurate Web results to the users.
段建勇, 徐骥超, 张梅. 网络日志中查询串语义关系挖掘及其应用研究[J]. 现代图书情报技术, 2012, 28(1): 58-62.
Duan Jianyong, Xu Jichao, Zhang Mei. Query Semantic Relation Mining from Web Log and Its Application. New Technology of Library and Information Service, 2012, 28(1): 58-62.
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