The talent information flow analysis system based on big data systematically collects the basic talent information of the region. After sorting, the economic characteristics of the floating population include variables such as employment status, occupational attributes, unit nature, employment income and housing expenditure [1]. The main factors of these influences are extracted, and the common attributes are extracted. They can be classified according to the regional characteristics, economic impact, time, gender and other factors during the flow of talents. They can be simply divided into stable talents, mobile talents, and regression talents as the flow of talent information. The training sample set based on k-nearest neighbor algorithm analyzes the newly imported talent information, divides the talents into different categories, provides data support for decision makers, and the talent information flow analysis system based on big data provides decision makers with a visual, convenient and efficient analysis system. The system design uses UML use case diagrams for software requirements analysis, and the software system design uses package diagrams for software system design.
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