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

A technology of user information and user characteristics, applied in digital data information retrieval, data processing applications, special data processing applications, etc., can solve the problem of not being able to know the applicable amount of product ingredients, ordinary users not being able to get worry-free recommendations, and users not being able to intuitively understand Product ingredient details and other issues

Pending Publication Date: 2020-04-14
弗雷森斯(苏州)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as figure 1 As shown, a shopping system based on user feature information and product component information, the system includes: an information collection subsystem for product information collection and user information collection; a user portrait construction subsystem for collecting user information Construct a user portrait; a product portrait construction subsystem, which is used to construct a product portrait according to the collected product information; a data association subsystem, which is used to perform data association based on the constructed user portrait and product portrait; characterized in that the user portrait The method of constructing a subsystem to construct a user portrait performs the following steps: extract user characteristics according to the collected user information, and use the following formula to count the number of times the user characteristics match each targeted user portrait group:

[0041] Among them, N is the number of ti...

Embodiment 2

[0047] On the basis of the previous embodiment, the user portrait construction subsystem constructs a user portrait according to the collected user information, the method of extracting user characteristics performs the following steps: treat the acquired user information as text information, and determine the beginning of the text information The stage and the end stage are represented by begin and end respectively; count the keywords in the text, and calculate the final keyword score according to the following formula:

[0048] Among them, score is the keyword score,

[0049] N is the number of keywords, λ i Is the keyword matching degree, F(x) is the correction function, S i Is the number of deleted information except for keywords in the text information; b is the degree of keyword condensing, set to 10,

[0050] γ bit adjustment coefficient, set to 1~1.5; The cur is the current time, sst is the time when keywords are generated, and hl is the half-life, which is set to 80s; if t...

Embodiment 3

[0054] On the basis of the previous embodiment, the user portrait construction subsystem constructs the user portrait according to the extracted user characteristics. The following method can also be used: according to the extracted user characteristics, the following formula is used to classify the user characteristics, Wherein, the tf(t, d) is the degree of relevance of user keywords in the user information, the t is used to characterize the keywords, and the d is information that is irrelevant to the keywords in the information. Said N is the number of keywords, n i It is the number of information that is not related to keywords; according to the obtained T value and a comparison with a preset threshold, it is determined which category the user information belongs to, and then the association between the user information and the targeted user portrait group is constructed.

[0055] Specifically, this method of constructing user portraits uses classification and discrimination m...

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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...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06Q30/06
CPCG06F16/9535G06Q30/0631Y02D10/00
Inventor 唐杰
Owner 弗雷森斯(苏州)科技有限公司
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