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

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 ...

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 commodities based on a hierarchical combination model, which can relatively accurately identify e-commerce products. The major categories of commodities and their application industries can effectively avoid category confusion and classification errors

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