Abstract: In order to effectively improve the efficiency and performance of intelligent retrieval of book information resource services, a machine learning algorithm based intelligent retrieval method is proposed. Machine learning algorithms are used to classify the keyword frequency of books, providing the corresponding index for each class, calculating the weight of feature words corresponding to each document in the classification,and obtaining the score of feature words through repeated iterations. A contextual feature matrix is established,the corresponding score for each class is calculated, and the feature with the highest score is selected for classification processing. Based on the classification results of book information resources, grid computing technology is introduced to construct an intelligent retrieval model for book information resource services, and the model is used to achieve intelligent retrieval of book information resource services. The experimental results show that when using the proposed method for intelligent retrieval of book information resource services, the precision obtained is above 96. 0% , the recall rate remains above 90% , and the retrieval time under different datasets is around 450 ms, indicating that the proposed method has good performance in intelligent retrieval of book information resource services.

Key words: machine learning algorithms, book information, grid computing technology, resource services, intelligent retrieval