
Research Article
English Literature Appreciation Teaching Resources Retrieval System Based on Mutual Information Entropy
@INPROCEEDINGS{10.1007/978-3-031-51465-4_11, author={Xiaojun Jiang and Haiquan Chi}, title={English Literature Appreciation Teaching Resources Retrieval System Based on Mutual Information Entropy}, proceedings={e-Learning, e-Education, and Online Training. 9th EAI International Conference, eLEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part I}, proceedings_a={ELEOT}, year={2024}, month={1}, keywords={Mutual Information Entropy English Literature Appreciation Teaching Resources Resource Retrieval Generalized Entropy Function Retrieval Architecture Ratio Balance}, doi={10.1007/978-3-031-51465-4_11} }
- Xiaojun Jiang
Haiquan Chi
Year: 2024
English Literature Appreciation Teaching Resources Retrieval System Based on Mutual Information Entropy
ELEOT
Springer
DOI: 10.1007/978-3-031-51465-4_11
Abstract
With the development of globalization and the increase of international communication, the appreciation of English literature has become an important part of English learning for many learners. English literature appreciation aims to help students understand and appreciate the artistic value, cultural connotation and language expression of English literary works. The imbalance of resource allocation is the main reason why the application host can not accurately retrieve teaching information. In view of the above problems, a retrieval system for English literature appreciation teaching resources based on mutual information entropy is designed. According to the calculation result of mutual information entropy, the generalized entropy function is solved, and then based on this, the processing of teaching resources is completed, so as to achieve the acquisition of teaching resources based on mutual information entropy. Improve the retrieval architecture, and through the definition of resource retrieval methods, realize the application of various technical means, and complete the design of English literature appreciation teaching resource retrieval system based on mutual information entropy. The experimental results show that the application of the above retrieval system can make the maximum balance of resource allocation reach 95%, which solves the problem that the application host cannot accurately retrieve teaching information due to the imbalance of resource allocation.