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Commodity clustering method and apparatus

A clustering method and product technology, which is applied in business, equipment, sales/lease transactions, etc., can solve problems such as time-consuming, cumbersome website operators, etc., and achieve the effect of automatic clustering

Inactive Publication Date: 2018-06-15
北京值得买科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the solution provided by the existing technology can be used to obtain products with high cost performance, the method of manual comparison requires website operators to do a lot of repetitive and tedious work, which takes a long time

Method used

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  • Commodity clustering method and apparatus
  • Commodity clustering method and apparatus

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] In order to realize automatic clustering of commodities in a commodity library, embodiments of the present invention provide a commodity clustering method and device.

[0042] The commodity clustering method provided by the embodiment of the present invention will firstly be introduced in detail below.

[0043] Such as figure 1 As shown, it is a schematic flowchart of a commodity clustering method provided by an embodiment of the present invention, and...

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Abstract

Embodiments of the invention provide a commodity clustering method and apparatus, and relate to the technical field of e-commerce and data processing. The commodity clustering method comprises the steps of obtaining target commodity titles of to-be-clustered commodities; according to the target commodity titles, generating target unique identifiers corresponding to the to-be-clustered commodities;and clustering target commodities matched with the target unique identifiers in a preset commodity library into a category, wherein the preset commodity library stores commodity titles of commoditiesfrom different shopping websites. When the commodity clustering method and apparatus is used for performing commodity clustering, the target commodity titles of the to-be-clustered commodities are obtained firstly, then the target unique identifiers corresponding to the to-be-clustered commodities are generated, and the target commodities are obtained by matching in the preset commodity library,so that the commodities in the commodity library can be automatically clustered without manual comparison.

Description

technical field [0001] The invention relates to the technical fields of e-commerce and data processing, in particular to a commodity clustering method and device. Background technique [0002] The shopping guide website is a consumer decision-making platform that provides online shopping product recommendations to users. In order to recommend products with high cost performance to users, in the prior art, website operators often need to manually compare prices of a certain product on different shopping websites. Although the solution provided by the existing technology can be used to obtain products with high cost performance, the manual comparison method requires website operators to perform a lot of repetitive and tedious work, which takes a long time. Contents of the invention [0003] The purpose of the embodiments of the present invention is to provide a commodity clustering method and device to realize automatic clustering of commodities in a commodity library. [...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0623G06Q30/0631
Inventor 孙勇
Owner 北京值得买科技股份有限公司
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