E-commerce shopping navigation method based on big data and system thereof

Abstract

The invention discloses an e-commerce shopping navigation method based on big data and a system thereof. The method comprises the steps of obtaining account information of logging in a current website; acquiring a shopping record of the account information, wherein the shopping record comprises a product name and a product price corresponding to the product name; analyzing the shopping records, and classifying the product names into product types according to the purposes of the products; establishing a price interval corresponding to the product type based on the product price; acquiring a shopping demand input by a user, wherein the shopping demand comprises a product name and a product purpose; extracting all product information meeting the shopping requirements from a database, whereinthe product information comprises product names and product prices; enabling the product names contained in the product information to be in one-to-one correspondence with the product types, and judging whether the product prices contained in the product information are located in price intervals corresponding to the product types or not; and if yes, outputting the product information.

Description

technical field [0001] The invention relates to the field of big data e-commerce, in particular to a big data-based e-commerce shopping navigation method and system thereof. Background technique [0002] With the advent of big data, data is gradually realized to be of great use. A large amount of data is extracted and analyzed to classify useful data, and the target is judged by analyzing useful data. [0003] Online shopping is a topic frequently discussed by human beings. With the development of the economy and the popularization of the Internet, various e-commerce platforms have risen, but there are also more and more problems in online shopping. With the development and growth of e-commerce platforms, sellers continue to settle in , As a result, when buyers purchase products, there are thousands of similar products, and factors such as quality and price can easily make buyers confused. [0004] At the same time, the search function of the current e-commerce website is t...

AI Technical Summary

Problems solved by technology

[0003] Online shopping is a topic frequently discussed by human beings. With the development of the economy and the popularization of the Internet, various e-commerce platforms have risen, but there are also more and more problems in online shopping. With the development and growth of e-commerce platforms, sellers continue to settle in As a result, when buyers purchase products, there are tens of thousands of similar products, and factors such as quality and price can easily make buyers confused

[0004] At the same time, the search function of the current e-commerce website is too complicated, and there are too many recommended spam information. When the buyer enters the product name, a lot of product information that has nothing to do with the buyer's shopping needs will pop up, affecting the buyer's shopping experience.

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