Optimization of an Information System based on Intelligent Deep Retrieval Algorithm
Haixia Li, Guangtao Zhang · 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 2022
Optimization of an archives management information system based on intelligent deep retrieval algorithm is studied in the paper. In this paper, a loss function based on cross entropy is proposed to make the distance of samples with large similarity in the Hamming space after hashing small, while the distance of samples with small similarity is large. Archive data security governance ensures the security of archive data through the use of various security technologies and strict and effective management systems, forms a new framework for the general archive data security governance of collaborative governance and precise governance. For these ideas, the core applications to the intelligent deep retrieval algorithm is studied. Through the simulation, the systematic performance is validated.