Commodity recommendation method, device and equipment based on e-commerce platform

Abstract

The invention discloses a commodity recommendation method, device and equipment based on an e-commerce platform. The method comprises the following steps of obtaining a consumption demand of a consumer on the e-commerce platform; depending on the consumer demand, creating first commodity information associated with the consumption demand, obtaining current geographical location information of theconsumer; constructing second commodity information associated with the geographic position information, comparing the first commodity information with the second commodity information to obtain the same commodity information through comparison, carrying out commodity combination on commodities associated with the same commodity information on the e-commerce platform according to the same commodity information, generating a target combined commodity matched with the commodity combination on the e-commerce platform, and recommending the target combined commodity to consumers on the e-commerce platform. By means of the mode, the commodities can be recommended for sale according to the consumption requirements of consumers on the e-commerce platform and the current geographic position information, and then the sales volume of the recommended commodities on the e-commerce platform can be increased.

Description

technical field [0001] The present invention relates to the technical field of e-commerce platforms, in particular to an e-commerce platform-based commodity recommendation method, device, and equipment. Background technique [0002] In recent years, with the advancement of computer and network technology, e-commerce has developed rapidly. Consumers can buy their favorite products through e-commerce platforms without leaving home, which brings great convenience to consumers' lives. [0003] However, the existing product recommendation schemes based on the e-commerce platform generally recommend that the e-commerce platform directly recommend products with preferential activities to consumers for sale when the products sold on the e-commerce platform have preferential activities. Consumers' consumption needs on the e-commerce platform and current geographic location information are used to recommend products for sale, and thus cannot increase the sales volume of recommended p...

AI Technical Summary

Problems solved by technology

[0003] However, the existing product recommendation schemes based on the e-commerce platform generally recommend that the e-commerce platform directly recommend products with preferential activities to consumers for sale when the products sold on the e-commerce platform have preferential activities. Consumers' consumption needs on the e-commerce platform and current geographic location information are used to recommend products for sale, which cannot increase the sales of recommended products on the e-commerce platform

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