E-commerce commodity recommendation method, device and apparatus

Abstract

The invention discloses an e-commerce commodity recommendation method, device and apparatus. The method comprises the following steps that: obtaining a consumption demand of a consumer on an e-commerce platform; creating first commodity information associated with the consumption demand to acquire current geographical location information of the consumer; constructing second commodity informationassociated with geographic position information, comparing the first commodity information with the second commodity information; comparing the commodity information of ta same supplier, performing commodity combination on commodities associated with the commodity information of the same supplier on the e-commerce platform according to the commodity information of the same supplier, 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, 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 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 e-commerce commodity recommendation scheme generally means that when the products sold on the e-commerce platform have preferential activities, the e-commerce platform directly recommends the products with preferential activities to consumers for sale, which cannot be based on the consumer’s The consumer demand on the e-commerce platform and the current geographical location information are used to recommend products for sale, and thus the sales volume of recommended products on the...

AI Technical Summary

Problems solved by technology

[0003] However, the existing e-commerce commodity recommendation scheme generally means that when the products sold on the e-commerce platform have preferential activities, the e-commerce platform directly recommends the products with preferential activities to consumers for sale, which cannot be based on the consumer’s Based on the consumer demand on the e-commerce platform and the current geographic location information to recommend products for sale, it is impossible to increase the sales of recommended products on the e-commerce platform

Images