An evaluation arithmetic of topic relevance based on dynamic matching is presented in this paper
which is based on evaluation of metadata and evaluation of semantics based on web content.The computing model can adjust automatically based on the type of inputted data and is able to settle in great part the contradiction between process speed and accuracy rate.The experimental results demonstrate that the computing model presented in this paper perform better than present approaches.