Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Personalized commodity matching and recommending system and method

A recommendation system and product technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as risks and inability to effectively improve the matching degree, and achieve high practicability

Inactive Publication Date: 2017-01-11
向莉妮
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, most of the existing goods accounting and recommendation technologies are still limited to the calculation of human appearance data, such as understanding the body shape of the person and calculating the clothing style suitable for the human body shape. Because the existing technology is only positioned on the partial appearance data of women, such as body size Carrying out simple clothing matching, but ignoring factors such as social aesthetics or inner personality aesthetics that people have formed over the years, sometimes not only cannot effectively improve the matching degree, but also is a risk

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Personalized commodity matching and recommending system and method
  • Personalized commodity matching and recommending system and method
  • Personalized commodity matching and recommending system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0032] figure 1 A schematic diagram of an embodiment of the personalized product matching recommendation system of the present invention is shown. As shown in the figure, a personalized product matching recommendation system of the present invention includes:

[0033] The personal attribute collection module collects personal attribute data of individuals in multiple dimensions, including appearance attributes and social psychological attributes, and conducts character analysis portraits;

[0034] The personal style calculation module calculates and obtains the personal style type data according to the attribute data collected by the personal attribute collection module;

[0035] Personal data repository, storing the attribute data collected by the personal attribute acquisition module and the personal style type data calculated by the perso...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a personalized commodity matching and recommending system. The system comprises a personal property acquisition module, a personal style calculation module, a personal data storage bank, a commodity attribute acquisition module, a commodity style calculation module, a commodity data storage bank, a matching and recommending module, a course module, and an output display module. Multiple dimensions of personal property data of a person is collected, a most matched type of commodity or most matched commodities combined by multiple types of commodities are recommended for a person after calculation, and an optimal modeling guide is provided for a user, so that a purpose of precision shopping is achieved, and the system has high practicability. The present invention further provides a personalized commodity recommending method.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to a system and method for matching and recommending personalized commodities. Background technique [0002] At present, most of the existing goods accounting and recommendation technologies are still limited to the calculation of human appearance data, such as knowing the body shape of the person and calculating the clothing style suitable for the human body. Because the existing technology is only positioned on the partial appearance data of women, such as body size Carrying out simple clothing matching, but ignoring factors such as social aesthetics or inner personality aesthetics that people have formed over the years, sometimes not only cannot effectively improve the matching degree, but also is a risk. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a product matching recommendation system ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
Inventor 向莉妮
Owner 向莉妮
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products