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

Authors: Liping Zhong

Addresses: Library, The Hunan City University, Yiyang, 413000, China

Abstract: 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.

Keywords: binary sort tree; BST; E-book resources; search model; Vector space model; similar distance.

DOI: 10.1504/IJRIS.2025.145049

International Journal of Reasoning-based Intelligent Systems, 2025 Vol.17 No.1, pp.66 - 72

Received: 03 Apr 2023
Accepted: 27 Apr 2023
Published online: 18 Mar 2025 *

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