Unlock instant, AI-driven research and patent intelligence for your innovation.

A method for identifying products based on commodity attribute normalization and clustering

A commodity attribute and product technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as difficulty in guaranteeing the quality of commodity attribute information, poor identification of products, and unstable result sets, etc., to improve product quality. Credibility, solve the search instability, improve the effect of search accuracy

Inactive Publication Date: 2016-11-30
北京中搜云商网络技术有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing product recognition technology for shopping search has the disadvantage of complex algorithm and unstable result set
With the development of the Internet, there are more and more websites, and the quality of the product attribute information obtained is difficult to guarantee. If the product attribute information is too little, or the important attribute information is missing or inaccurate, the clustering will be inaccurate and the product identification will be inaccurate. not effectively
In addition, whether it is calculating acquaintance or comparing certain rules, the algorithm is cumbersome and unstable.

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
  • A method for identifying products based on commodity attribute normalization and clustering
  • A method for identifying products based on commodity attribute normalization and clustering
  • A method for identifying products based on commodity attribute normalization and clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0048] When searching for shopping information, distinguishing the product to which the product belongs is mainly reflected in one or several key attribute-value pairs. For example, books and audiovisual features are a unique attribute, and books have ISBN (International Standard Book Number), which is internationally accepted. Code for books or independent publications (except for periodicals published regularly). The audiovisual category has ISRC (International Standard Code for Audiovisual Products), which consists of 5 data segments consisting of country code, publisher code, recording year code, record code and record item code.

[0049] 3C products are characterized by several key attributes, such as brand, model, memory capacity, etc. When searching for products, in the product information, the feature attribute information cont...

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 provides a method for identifying products based on product attribute normalization and clustering, the method comprising the following steps: establishing a standard library; sorting out the attributes of the product according to the product page information and the standard library; outputting standard product information ; clustering the attributes of the commodity according to the standard commodity information and the standard library; obtaining the standard commodity information of the product id. This method can achieve efficient acquisition of product information desired by the user.

Description

Technical field [0001] The invention relates to a method in the field of information retrieval in a computer, in particular to a method for identifying products based on product attribute normalization and clustering. Background technique [0002] With the successful development of e-commerce websites, online shopping has become a convenient, fast, and cheap way to shop. Following this, the number of product information and shopping websites has increased sharply. However, numerous shopping information has made consumers lose their way. How to quickly and comprehensively obtain the desired product information is a new challenge faced by Internet search technology. [0003] Internet search engine technology provides users with a convenient and fast channel to help users obtain products and mall information faster, more accurately, and more comprehensively. With the help of search engine technology, shopping search emerges at the historic moment. When users retrieve a product, If th...

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 Patents(China)
IPC IPC(8): G06F17/30G06Q30/06
Inventor 赵金杰吴尉林王放
Owner 北京中搜云商网络技术有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More