基于概念格的搜索引擎查询优化系统

Search engine (SE) has recently been the entrance to the internet. The study and the applications of the information retrieval are paid more and more attentions. The study are focused on developing the user’s experience in using the SE and improving the results providing by the SE to users. Concept lattice is recently fast developed as a tool for data analysis and rule exaction. The concept lattice is built from data set through the process of concept clustering. This paper creatively presents a method using the concept lattice to construct a query refinement system on information retrieval. The good future of clustering and the viewable structure of concept lattice make the ES system achieve the better search results. The method makes the search engine more intelligent.