Study on classification and retrieval method of e-book resources based on binary sort tree

In order to solve the problems of low classification accuracy and large retrieval error in the classification and retrieval of e-book resources, a classification and retrieval method of e-book resources based on binary sorting tree is designed.Calculate the similar distance between e-book resource data and realise the structural analysis of e-book resource platform.The vector space model is introduced to realise the data integration of e-book resources.The retrieval model is constructed and the stability coefficient is introduced to realise the research.The experimental results show that the classification accuracy of the proposed method is about 99%, the retrieval error is always less than 1%, and the time cost is less than 2 seconds, which has certain advantages.