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Automatic commodity information classifying and recommending method applicable to B2B (Business to Business) e-commerce platform

An e-commerce platform and commodity information technology, applied in the field of data processing, can solve problems such as selection and classification, difficult commodities, etc.

Active Publication Date: 2014-02-26
FOCUS TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the seller is not familiar with the overall setting of the website's category catalog, it is often difficult to accurately select the category for the submitted products

Method used

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  • Automatic commodity information classifying and recommending method applicable to B2B (Business to Business) e-commerce platform
  • Automatic commodity information classifying and recommending method applicable to B2B (Business to Business) e-commerce platform
  • Automatic commodity information classifying and recommending method applicable to B2B (Business to Business) e-commerce platform

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Embodiment Construction

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the present invention will be further described below in conjunction with the accompanying drawings and specific implementation methods.

[0019] The method for automatically classifying and recommending commodity information applicable to B2B e-commerce platforms in this embodiment collects based on classified commodity information, obtains commodity titles, description information and corresponding classification codes, and forms The product classification instance library; if a product corresponds to multiple classification codes, it will be split into multiple classification instances; word segmentation, word extraction, frequency statistics and position weighting are performed on the product information title and description information in the product instance, Form a feature representation based on keyword strings, extract commodity names and oth...

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PUM

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Abstract

The invention discloses an automatic commodity information classifying and recommending method applicable to a B2B (Business to Business) e-commerce platform, which is used for assisting a B2B e-commerce platform seller to release accurate commodity classifying information. The method comprises the following steps of: obtaining processed commodity information from a commodity information database of an e-commerce platform to form a commodity classificatory knowledge base; extracting and representing titles and description information of commodities newly submitted by sellers; carrying out similarity calculation onto the represented result and information in the commodity classificatory knowledge base; and recommending the most relevant classification result to the new commodities. The invention discloses a method for constructing the classificatory knowledge base based on the existing commodity classifying embodiment to realize commodity automatic classifying, which sufficiently utilizes the existing commodity classifying information and adopts an embodiment matching algorithm to quickly and accurately realize commodity classifying for recommending and classifying when the B2B e-commerce platform seller submits the commodity, so that classifying burden when the seller submits commodity information is lowered.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a data classification method. Background technique [0002] Commodity classification catalog is a main way for e-commerce platform to organize, manage and display commodity information. On a B2B e-commerce platform, in order to generate a commodity catalog, the seller needs to select one or more classification catalogs for his commodity from the existing commodity classification table on the website when submitting commodity information. Since sellers are not familiar with the overall setting of the category catalog of the website, it is often difficult to accurately select categories for the submitted products. Therefore, from the perspective of serving sellers and improving classification accuracy, e-commerce platforms should provide a function of automatically recommending product classification catalogs. [0003] At present, commodity information on B2B e-commerce platforms i...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/353G06Q30/02
Inventor 薛春香王美瑄邹苇李莉
Owner FOCUS TECH
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