E-commerce platform commodity database establishment method based on feature recognition and online and offline linkage

Abstract

The invention discloses an e-commerce platform commodity database establishment method based on feature recognition and online and offline linkage. Online convenient search, timely online communication with merchants and intelligent recommendation advantages corresponding to offline shopping are applied to the offline shopping, an online shopping-offline shopping linkage mode is adopted, the offline commodity record corresponding to offline shopping of the user is uploaded to the e-commerce platform, an offline commodity database is constructed, online commodity search is provided for the search user, and the platform intelligently recommends the corresponding search result, so that the offline shopping of the user is greatly facilitated, the defects that the user does idle work and the recommendation experience feeling is poor in offline shopping are overcome, the offline shopping efficiency of the user is improved, the comprehensive shopping experience feeling of the offline shopping of the user is enhanced, the situations that the user does idle work and blindly screens offline commodity shops are greatly reduced, and the intelligent shopping demand of offline shopping of the user is met.

Description

technical field [0001] The invention belongs to the technical field of commodity database processing, and in particular relates to a method for establishing a commodity database on an e-commerce platform based on feature recognition and online and offline linkage. Background technique [0002] With the progress of society and the development of the Internet, people's lifestyles have undergone major changes, and people's shopping methods have also changed. Online shopping relies on its advantages of convenient online search, timely online communication with merchants, and intelligent matching and recommendation. It has gradually become the mainstream way for people to shop. However, online shopping cannot completely replace offline shopping at present. This is specifically reflected in the fact that online shopping cannot see real products. When buying clothing, shoes and hats and other products that need to be experienced in person, users cannot obtain the actual upper body ...

AI Technical Summary

Problems solved by technology

However, online shopping cannot completely replace offline shopping at present. This is specifically reflected in the fact that online shopping cannot see real products. When buying clothing, shoes and hats and other products that need to be experienced in person, users cannot obtain the actual upper body effect of clothing. , the degree of fit of the shoes, resulting in a low sense of personal shopping experience for users; on the other hand, because the products purchased online come from different places, after the shopping is completed, they need to go through logistics and transportation to reach the user. There is a time gap between the hands, and online shopping is not suitable for some urgent purchases. It can be seen that online shopping cannot completely replace offline shopping, but offline shopping also has some defects in the specific shopping process. On the one hand, offline shopping requires the user to actually go to the corresponding product store to shop. Due to the inability to communicate with the merchant online, there may be situations where the product is sold out when arriving at the store, which will cause the user to do useless work and reduce the user line. offline shopping efficiency; on the other hand, when there is more than one store corresponding to the product that the user wants to buy during the offline shopping process, the user needs to filter. Almost blindly screen or listen to other people's opinions, resulting in poor offline shopping recommendation experience for users

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