Local product transaction amount calculation method and system based on multi-dimensional feature analysis

Abstract

The application discloses a local product transaction amount calculation method and system based on multi-dimensional feature analysis, relates to the technical field of data processing, and comprises the following steps: collecting multi-source related data, standardizing the multi-source related data and generating a data set, extracting product attribute-related features and matching and determining attributes, and generating a local related product list; combining the data set and the list to divide commercial outlets into professional sales stores and comprehensive retail outlets; checking the transaction authenticity of the professional sales stores, counting the transaction amount, splitting local and cross-regional transaction data of the comprehensive retail outlets, constructing an entropy weight method weighted model to calculate the proportion of local products and account for the transaction amount; and after the transaction amount is summarized, the transaction amount is counted in multiple dimensions according to local industry benchmark data dimensions to generate local related product transaction amount statistical results. The system sets corresponding function modules to realize the method, and the application improves the accuracy and authenticity of transaction amount statistics, and the statistical results can provide reliable data support for regional industry development and policy making.

Images