E-commerce commodity classification method and system based on hierarchical combination model

A technology that combines models and classification methods, applied in the Internet field, can solve problems such as category confusion and easy classification errors

Active Publication Date: 2021-03-09
杭州盟码科技有限公司
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The present invention aims at the problem that the existing one-dimensional model-based keyword matching classification method easily leads to category confusion and classification errors, and provides a classification method for e-commerce co

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
  • E-commerce commodity classification method and system based on hierarchical combination model
  • E-commerce commodity classification method and system based on hierarchical combination model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] The technical solution proposed by the present invention will be further explained below in conjunction with the accompanying drawings.

[0076] The e-commerce commodity classification system based on the hierarchical combination model of the present invention is constructed through the python environment. The classification system of the present invention mainly includes four functional modules: a hierarchical classification thesaurus construction module, a data processing module, a classification matching module and a classification auxiliary module. The above four modules respectively complete the four process steps of the construction of the hierarchical classification thesaurus, data processing, classification matching, and auxiliary classification. The four major process steps together constitute the complete classification process of the e-commerce commodity classification system (hereinafter referred to as the system or classification system) of the present inve...

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 invention belongs to the technical field of Internet, and discloses an e-commerce commodity classification method and system based on a hierarchical combination model, and the method comprises thesteps: building a multi-layer classification lexicon or a hierarchical classification lexicon based on the hierarchical combination model; and matching the commodity titles subjected to word segmentation processing with a multi-layer classification word bank or a hierarchical classification word bank step by step from the uppermost level to the lower level, and finally determining the classification of the commodities by using paths or hierarchical classification tags according to a matching result. According to the classification method and system, on one hand, classification confusion of different categories of commodities with the same name is effectively avoided, and on the other hand, the problem of classification errors caused by noun stacking in titles is successfully solved.

Description

technical field [0001] The invention belongs to the technical field of the Internet and relates to commercial data processing technology, in particular to a method and a system for automatically classifying commodities on an e-commerce platform through a computer. Background technique [0002] At present, the development of the e-commerce field is still growing gradually, and the data generated can be said to be growing exponentially. All kinds of commodities emerge in endlessly. Due to the huge amount of data, manual classification has been difficult to achieve; therefore, it is necessary to use a computer classification system to complete the classification of e-commerce commodities. [0003] The computer classification system described in the present invention is not a management system disclosed in patent applications such as publication numbers CN1920831A and CN102915498A. The task of those management systems is to establish a commodity classification management 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
IPC IPC(8): G06F16/35G06F40/289G06Q30/06
CPCG06Q30/0601G06F16/355G06F40/289
Inventor 费岸
Owner 杭州盟码科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products