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

Commodity name classification method and system based on semantic similarity expansion

A technology of product names and classification methods, applied in semantic analysis, natural language data processing, special data processing applications, etc., can solve problems such as inability to determine the consistency of product names, improve correctness and effectiveness, save time, increase Effects of legality and validity

Inactive Publication Date: 2018-02-02
NINGBO AISINO +1
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past, when billing, the merchant entered the product name independently, and it was impossible to determine whether the product name was consistent with the historical record. Using product classification can solve this problem

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
  • Commodity name classification method and system based on semantic similarity expansion
  • Commodity name classification method and system based on semantic similarity expansion
  • Commodity name classification method and system based on semantic similarity expansion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0022] Such as figure 1 As shown, the commodity name classification method based on semantic similarity extension of the present invention comprises the following steps:

[0023] S1. Perform offline algorithm calculations on the historical invoice data sets of existing categories of commodities to obtain the naive Bayesian model and word vectors for each category of commodities;

[0024] S2. Analyze whether the word vector of the ...

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 commodity name classification method and system based on semantic similarity expansion. The offline algorithm calculation of historical invoice data sets of commodities of existing categories is carried out to obtain a naive Bayesian model and a word vector of each type of commodities. According to different conditions, whether a commodity name word vector inputted by a merchant exists in the naive Bayesian model of the commodities of the existing categories is analyzed, if the naive Bayesian model does not have a uniterm after a commodity name participle, thecommodity name and existing commodity category keywords are subjected to word vector similarity calculation, the probability that the commodity name inputted by the merchant belongs to an existing commodity category is calculated, and a category corresponding to a maximum value is the category to which the commodity belongs. Experimental results show that the accuracy of the commodity category keyword similarity calculation based on semantic expansion is high, and a calculation result accords with common sense judgment.

Description

technical field [0001] The invention relates to the technical field of e-commerce platforms, in particular to a method and system for classifying commodity names based on semantic similarity extension. Background technique [0002] With the development of the Internet era and the introduction of the national "Internet +" strategy, the tax system has also proposed strategic ideas such as "information management tax" and "Internet + taxation" on the basis of "controlling taxes with tickets" to promote my country's The upgrading of tax collection and management can avoid the phenomenon of businessmen evading taxes by not issuing invoices, wrongly issuing invoices, or falsely issuing invoices. Therefore, how to standardize the issuance of invoices and reduce tax risks has become an urgent problem to be solved. [0003] Among them, ensuring that the product names issued by merchants are authentic and credible is one of the effective ways to standardize invoicing, that is, similar ...

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
IPC IPC(8): G06K9/62G06F17/27
CPCG06F40/289G06F40/30G06F18/24155
Inventor 庞胜民王涛王芳李纪超高哲张浩
Owner NINGBO AISINO
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com