Shopping system and method based on user feature information and product component information

Abstract

The invention belongs to the technical field of electronic commerce, and particularly relates to a shopping system and method based on user feature information and product component information. The system comprises an information collection subsystem which carries out the collection of product information and user information, a user portrait construction subsystem which is used for constructinga user portrait according to the collected user information, a product portrait construction subsystem which is used for constructing a product portrait according to the collected product information,and a data association subsystem which is used for carrying out data association according to the constructed user portrait and product portrait. Object recommendation can be provided for different users in a personalized mode, and the pushing result accuracy is high through a pushing system established based on the user portrait and the product portrait.

Description

Technical field [0001] The invention belongs to the technical field of e-commerce, and specifically relates to a shopping system and method based on user characteristic information and product component information. Background technique [0002] In recent years, with the popularity and rapid development of the Internet and express logistics, online shopping methods have become more and more convenient and common. The developed Internet and e-commerce environment allows the vast number of Internet users to be no longer restricted by geographic location, and can access and purchase a wider range of products only through the Internet. However, when purchasing health care products, herbal supplements, beauty and cosmetics, toiletries, maternal and child nutrition and other products, because these products have very obvious individual differences, you cannot just look at the product's efficacy introduction, and ignore the composition Different requirements for each individual. [0003...

AI Technical Summary

Problems solved by technology

[0004] 1. It is impossible to determine the applicable amount of product ingredients to the human body

For example, when a pregnant woman buys a prenatal multivitamin, she cannot know the applicable amount of product ingredients for a specific group of people, so she cannot judge whether some ingredients exceed the standard. The common problem is that pregnant women will eat folic acid products alone, and at the same time Take multivitamins, but most multivitamins on the market contain folic acid, and folic acid has a very clear daily dosage requirement, so it is easy for pregnant women to exceed the standard intake of folic acid without sufficient knowledge

[0005] 2. Unable to judge the effect of product ingredients

If it is refined to clarify the role of product ingredients, it will be more accurate to find products suitable for users (filter out or not select ingredients that contain certain functions, such as filtering out ingredients that contain flavors or not selecting ingredients that contain salicylic acid), but now the market The products on the website, at most, only list the beneficial ingredients and efficacy descriptions of the products, without a complete ingredient list and ingredient action introduction

[0006] 3. Professionals cannot filter and search products based on ingredient combination or ingredient dosage

For example, a nutritionist wants to buy products for his customers that contain certain ingredients, or specify the dosage of certain ingredients, but now he cannot search according to this requirement

[0007] 4. Ordinary users cannot get worry-free recommendations

[0008] 5. Users cannot intuitively understand the details of product ingredients

In the existing technology, the Internet platform only displays product packaging information and instructions, while skin care products only introduce efficacy, without ingredient information; users can only choose products based on general efficacy introduction, but whether it is suitable for their own situation cannot be selected. Judging when purchasing, and unable to understand the safety risks of ingredients

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