Electronic commerce website sales data analysis method and system

Abstract

According to the e-commerce website sales data analysis method and system provided by the invention, the e-commerce interaction data description is optimized through the correlation degree of the interaction theme, so that the e-commerce interaction theme analysis condition of the target e-commerce interaction data is obtained through the optimized e-commerce interaction data description. Therefore, the e-commerce interaction data description is optimized through the correlation degree of the interaction themes, the e-commerce interaction data description bound with the e-commerce interaction data of the interaction themes of the e-commerce interaction data can be close to similarity, and the e-commerce interaction data description bound with the e-commerce interaction data of the interaction themes of the e-commerce interaction data with differences can be deleted. Therefore, the stability of e-commerce interaction data description can be improved, e-commerce interaction theme analysis conditions described by the e-commerce interaction data can be collected, and the readability and credibility of e-commerce interaction data interaction theme analysis can be improved.

Description

technical field [0001] This application relates to the technical field of data analysis, in particular, to a method and system for analyzing sales data of an e-commerce website. Background technique [0002] Enterprises are one of the important driving forces to promote social and economic development, and e-commerce is more and more widely used in enterprises, so the correct management of e-commerce is very important for enterprises. As an important platform for communication between enterprises, e-commerce shortens the distance between the two sides of the transaction, making the communication fast and convenient, which greatly improves the efficiency of work and reduces the cost at the same time. [0003] Nowadays, the continuous improvement of e-commerce technology enables users to trade online anytime, anywhere without being limited by time, space, and many restrictions of traditional shopping. However, in life, there will be users who have difficulty in choosing and w...

AI Technical Summary

Problems solved by technology

However, in life, there will be users who have difficulty in choosing and will always hesitate to buy products. In this way, there may be problems such as sales stagnation, so there is a need for analysis based on user historical purchase records to provide users with what they need or Products of interest, which can improve the difficulty of user selection to a certain extent

In the process of analyzing user historical purchase records, there may be invalid data in historical purchase records, and invalid data needs to be screened out. If invalid data cannot be accurately screened out, it will be difficult to guarantee the readability and credibility of data analysis

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