Computer Network Information Retrieval Algorithm Integrating Data Structure Fusion Optimization

The exponential growth of digital information requires advanced methods for efficient information retrieval. This paper proposes a novel algorithm that integrates data structure fusion optimization for information retrieval tasks in computer networks. Based on a comprehensive literature review, key challenges are identified and explored existing solutions in the field of information retrieval. The proposed methodology focuses on improving the accuracy and efficiency of information retrieval through innovative data fusion techniques. The presented robust framework seamlessly integrates data structure optimization to improve the performance of the existing retrieval models. Experimental evaluations conducted on the “WebNews” dataset demonstrate the effectiveness of the proposed algorithm. A series of experiments were conducted with 20 groups of experimental settings, for four different methods. The results show that the Proposed method consistently outperforms the other methods in terms of accuracy and stability in the majority of experimental settings.