Intelligent Library Educational Information Digital Resources Retrieval Based on Ant Colony Algorithm

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.