E-commerce product screening method based on big data

Abstract

The invention discloses an e-commerce product screening method based on big data, and the method comprises the following steps: S1, obtaining an e-commerce orchard product information set in advance, and determining the information of various types of reference objects of e-commerce orchard products; s2, classifying the e-commerce orchard product information set to obtain classification data, and establishing same information base data corresponding to various types of reference object information and the corresponding classification data; and S3, screening the transported e-commerce orchard products according to the same information base data. Through the overall structure of the equipment, color information collection and color gradation-based screening logic are performed through the rotating e-commerce orchard products, so that the screening standard is more complete, high-quality color screening is realized, and the screening speed and accuracy of the e-commerce orchard products are improved. Rotation of e-commerce orchard products can be controlled through centrifugal force, and safety and stability during picture collection can be guaranteed.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to a method for screening e-commerce products based on big data. Background technique [0002] E-commerce is a business activity centered on commodity exchange by means of information network technology; it can also be understood as the activity of conducting transaction activities and related services in the form of electronic transactions on the Internet, intranets and value-added networks. The strategic significance of big data technology lies in the professional processing of huge and meaningful data, and the real-time interactive query efficiency and analysis capabilities. [0003] At present, e-commerce products, especially orchard products, need to be screened and rated before being sold. In the e-commerce orchard product processing industry, in order to complete the screening, the traditional method needs to consume a lot of energy. Manual screening by screeners is not o...

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Problems solved by technology

In the e-commerce orchard product processing industry, in order to complete the screening, the traditional method needs to consume a lot of energy. Manual screening by the screener is not only time-consuming and labor-intensive, but also errors and omissions may occur; at the same time, manual screening still has the same level There are differences in color and low precision among them, so we propose a method for screening e-commerce products based on big data

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