Abstract: A Web retrieval optimization model was proposed based on the analysis and classification of user's query intendon. It focuses on user's query intention identification,and can both ensure match user's query intention accurately and filter useless information automatically by means of characteristic word of query intention, content keyword and user's ctuery behavior. Comparing with related work. This paper focused on user's query intention and user's satisfaction. Experimental results show that the model can improve significantly the accuracy in information retrieve and users'satisfaction compared with traditional methods.

Key words: Information retrieval, Intention identification, Query behaviors, Optimization model