E-commerce live broadcast platform based on deep learning and cloud computing and cloud communication server

Abstract

The invention discloses an e-commerce live broadcast platform based on deep learning and cloud computing and a cloud communication server, and the platform comprises the steps: collecting the historical buyer evaluations corresponding to the types of commodities sold by a merchant, and classifying the collected historical buyer evaluations corresponding to the types of commodities according to the evaluation types; and obtaining each piece of historical buyer evaluation content and buyer shopping account corresponding to each evaluation type in each commodity type, screening out each piece of historical buyer evaluation content and buyer shopping account corresponding to each evaluation type corresponding to the current live broadcast commodity type from the historical buyer evaluation content and buyer shopping account, and displaying the historical buyer evaluation content and buyer shopping account on an e-commerce live broadcast platform. Therefore, the interactive communication function between the user and the historical purchaser of the live broadcast commodity is realized, the disadvantage that the user is difficult to distinguish the authenticity of the performance of the commodity explained by the anchor only according to the explained content of the anchor is avoided, the purchasing willingness of the user is improved, and the shopping experience of the user on the e-commerce live broadcast platform is enhanced.

Description

technical field [0001] The invention belongs to the technical field of e-commerce live broadcast platform management, and in particular relates to an e-commerce live broadcast platform and a cloud communication server based on deep learning and cloud computing. Background technique [0002] In the context of the rapid development of the new economy, live broadcast e-commerce, as an emerging industry, is developing rapidly. It bypasses traditional intermediate channels such as distributors and directly realizes the connection between products and consumers. This model improves consumers' access to product information. The efficiency has greatly enriched the choices of consumers and has become the most popular shopping method at present. [0003] However, on the current live broadcast e-commerce platform, in order to increase the sales of the product during the process of explaining and displaying the product, the anchor may have an explanation language that exaggerates the pe...

AI Technical Summary

Problems solved by technology

[0003] However, on the current live broadcast e-commerce platform, in order to increase the sales of the product during the process of explaining and displaying the product, the anchor may have an explanation language that exaggerates the performance of the product, making it difficult for users to distinguish the authenticity of the product performance explained by the anchor, which in turn affects the user's experience. Purchasing willingness to reduce users' shopping experience on e-commerce live streaming platforms

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