An intelligent push management system for live e-commerce platform product content based on big data

Abstract

The invention discloses a big data-based intelligent push management system for commodity content on a live e-commerce platform. The sales volume extraction module, the statistical analysis module of commodity praise rate, the comprehensive commodity push sequence analysis module and the background push module, the present invention screens the commodities that meet the commodity keywords from the live broadcast e-commerce platform by inputting commodity keywords, and counts the relationship between each commodity and the user. According to the total correlation degree, monthly sales volume and praise rate of the bias, the comprehensive push coefficient of each product is obtained, and then according to the comprehensive push coefficient of each product, the push is sorted from large to small, so that the products pushed by the platform can match the user's bias, and enhance It improves the user experience, prevents users from spending a lot of time looking for products that match their preference, and satisfies the user's preference shopping needs.

Description

technical field [0001] The invention belongs to the technical field of e-commerce platform management, and in particular relates to a big data-based intelligent push management system for live e-commerce platform commodity content. Background technique [0002] With the increasing penetration rate of mobile shopping, traditional e-commerce platforms are seeing a shift from incremental to stock competition, overall traffic declines, and customer acquisition costs increase. Invisible, intangible, and intangible. Compared with pictures and text, the information dimension of live broadcast video is richer, so that consumers can intuitively and comprehensively understand product and service information, and enable consumers to integrate into the shopping scene. Therefore, e-commerce live broadcasting is called the future development direction of e-commerce. [0003] When people are shopping on the live e-commerce platform, by entering product keywords in the search box on the pl...

AI Technical Summary

Problems solved by technology

However, the products pushed by the existing live broadcast e-commerce platforms cannot be pushed according to the user's preference, and the level of intelligence is not high. As a result, users need to spend a lot of time to find products that match their preferences from the pushed products, which affects people's shopping interest. , resulting in poor user experience. In order to enhance the user experience, an intelligent push management system for live e-commerce platform product content based on big data is now designed.

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