An application of tensor models in intelligent management of university teaching archives

This paper delves into the application of tensor models in the management of teaching archives in higher education institutions. By introducing tensor models, it conducts quantitative analysis and optimization of key aspects such as classification, storage, retrieval, and decision-making support in teaching archive management. Through specific case studies, the significant role of tensor models in enhancing the efficiency and scientific rigor of archive management is demonstrated, providing both theoretical foundations and practical guidance for the intelligent application of teaching archives in higher education.