In viewing of information overload environment,traditional search engine has inherent insufficiency about retrieval accuracy and query mode,together with the characteristics of decision tree algorithm and knowledge push,this paper presets an intelligent knowledge push model,and discuss the mechanism of this model.The model strive to improve the retrieval efficiency and realize the intelligent service.
IntroductionIn the network era, because of the information explosion that makes the increase the amount of information.How to query the information they want to that becomes more and more important in the vast cyber source, therefore there have specialized web search service web sites, such as Google, Baidu, Yahoo etc.. However, the information resource capacity will increase at an annual rate of nearly 80% [1][2] . Facing with digital information that grows with each passing day, on the one hand ,it need to increase the information resources storage capacity, making it easier for users to access to more information, but on the other hand,it is convenience for user in the enjoyment of massive digital resource,but at the same time,it also encountered the "information overload" problem.The user how to be more effective, more accurately find themselves interested in information and filtering that there are nothing to do with the information they need, truly "Each takes what he needs".