Research Article
Intelligent Library Educational Information Digital Resources Retrieval Based on Ant Colony Algorithm
@INPROCEEDINGS{10.1007/978-3-031-50543-0_18, author={Xu Wang and Mingjie Zheng}, title={Intelligent Library Educational Information Digital Resources Retrieval Based on Ant Colony Algorithm}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I}, proceedings_a={ADHIP}, year={2024}, month={3}, keywords={Ant colony algorithm Smart library Educational information Digital resource retrieval}, doi={10.1007/978-3-031-50543-0_18} }- Xu Wang
Mingjie Zheng
Year: 2024
Intelligent Library Educational Information Digital Resources Retrieval Based on Ant Colony Algorithm
ADHIP
Springer
DOI: 10.1007/978-3-031-50543-0_18
Abstract
In order to improve the service quality of the smart library, the ant colony algorithm is used to optimize the design of the retrieval method of educational information digital resources of the smart library. Collect educational information digital resources of smart libraries, complete preprocessing and integration operations for different types of digital resources, and extract the characteristics of digital resources. Establish a search engine for educational information digital resources. With the support of the search engine, use ant colony algorithm to determine the optimal path of resource retrieval, and get the final retrieval results of educational information digital resources. Through the performance test experiment, it is concluded that the precision and recall of the optimized design method are increased by 7.35% and 10.55% respectively, and the retrieval response time is significantly shortened compared with the traditional method.
