Optimization of an Archives Information System based on Intelligent Information Sorting Algorithm

Optimization of an archives management information system based on intelligent information sorting algorithm is studied in the paper. The innovative development and wide application of blockchain technology has become an important core of social life and production mode to digital transformation. Whether the blockchain can get a higher development depends on three factors: cognition, technology and policy. Further analysis will be carried out by utilizing the intelligent sorting algorithm. The semantic similarity measurement module is used to then calculate the semantic similarity between the relevant text information and the corresponding fact statement and the information model is then adjusted. Through the simulation, the ideas are tested.