Hierarchical Query Classification and Optimization Algorithm for Computer Science Domain Information Retrieval

With the rapid development of Natural Language Processing technology and the growing demand for efficient information retrieval in the computer field, query optimization tasks have become an important challenge. This paper proposes a new Hierarchical Query Classification and Retrieval (HQCR) framework to improve the efficiency of query processing systems. Our proposed method achieves precise classification and processing of queries through its unique query classification mechanism and efficient hierarchical indexing strategy. The core strength of this framework lies in its ability to effectively integrate multiple features, thereby delivering outstanding performance in complex query scenarios. Experimental results show that it outperforms traditional methods in average query time and classification accuracy, verifying its effectiveness in query optimization in the computer field.