E-commerce shopping recommendation method and system based on big data

Abstract

The invention discloses an e-commerce shopping recommendation method and system based on big data. The method comprises the steps of: obtaining a shopping starting triggering instruction for a current e-commerce consumer to start shopping on a current shopping e-commerce platform, calling current consumer original consumption data matched with the current e-commerce consumer from a preset stored e-commerce platform database based on the big data, and screening out data with the same commodity characteristics from the current consumer original consumption data according to the current consumer original consumption data, generating basic feature data of the current consumer according to the screened-out data; obtaining a current actual time point corresponding to the shopping starting trigger instruction, generating a current actual consumption time period according to the current actual time point, and screening out current consumption commodity data in the same time period from the basic feature data of the current consumer according to the current actual consumption time period; and generating current time possible shopping data according to the current consumption commodity data, and recommending a display interface based on current shopping.

Description

technical field [0001] This application relates to the field of big data technology, in particular to a big data-based e-commerce shopping recommendation method and system. Background technique [0002] Big data is a term in the IT industry. It refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making power, insight discovery and process optimization capabilities. Massive, high-growth and diverse information assets. [0003] With the development of big data technology, it has been applied to more and more fields, such as e-commerce shopping. For example, the invention patent with application number CN202011067600.1 discloses a shopping data based on big data and e-commerce platform Sharing method and system. After the shopping product label information is generated, the present invention can divide the shopping product shar...

AI Technical Summary

Problems solved by technology

[0004] Although the above technical solution can achieve certain technical effects, such as monitoring shared access information and shared update information, improving the efficiency of sharing operations and further improving the accuracy of information in the process of sharing applications, it cannot achieve good shopping recommendations, which is different from the current The shopping recommendation methods formed by the combination of big data and e-commerce are similar, and both have problems of low recommendation efficiency and inaccurate recommendations, which affect the shopping experience of shoppers

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