Big data-based intelligent pushing management system for commodity content of live broadcast e-commerce platform

Abstract

The invention discloses a big data-based intelligent pushing management system for the commodity content of a live broadcast e-commerce platform. The system comprises a keyword search and screening module, a commodity feature parameter division and extraction module, a user similar transaction information acquisition and analysis module and a feature parameter association matching module, a commodity monthly sales volume extraction module, a commodity good reputation rate statistical analysis module, a commodity comprehensive push sequence analysis module and a background push module. Each commodity conforming to the commodity keyword is screened from the live broadcast e-commerce platform by inputting the commodity keyword, and the total association degree, monthly sales volume and good reputation rate of each commodity with user bias are counted; the comprehensive pushing coefficients of the commodities are obtained, and then the commodities are sequentially pushed from large to small according to the comprehensive pushing coefficients of the commodities, so that the commodities pushed by the platform can be biased and matched with the user, the user experience is enhanced, the user does not need to spend a large amount of time in finding the biased and matched commodities, and biased shopping requirements of the user are met.

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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