Commodity search method and device

A search method and product technology, applied in business, network data retrieval, network data indexing, etc., can solve problems such as inability to describe clearly in language, inability for users to accurately search for products, non-compliance, etc.

Inactive Publication Date: 2018-03-30
广州唯品会研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, sometimes some useful information in the picture cannot be recognized by the naked eye of the user, and even cannot be clearly described in words
[0005] To sum up, some useful information of the product cannot be clearly described by the user in words, and some useful information in the picture cannot be recognized by the user with the naked eye, and even cannot be well described in words, so that the user is not sure about the real product. The product to be purchased cannot be clearly and accurately described, so that the product search results may contain a large number of products that do not meet the user's needs, so there is a problem that users cannot accurately search for products that really meet their needs

Method used

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  • Commodity search method and device

Examples

Experimental program
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Embodiment 1

[0045] The embodiment of the present invention provides a commodity search method, which is applied to the e-commerce platform, referring to figure 1 As shown, the method includes:

[0046] 101. Extract multiple tags from the product image included in the product search request input by the user, and at least one of the multiple tags is used to represent a picture element that the user cannot recognize and / or cannot be described in words.

[0047] Wherein, the product search request may be input by the user on the client, and the product image may be obtained by the user on the client by uploading a picture, taking a picture, or clicking on a picture.

[0048] Specifically, multiple image features in the product image are extracted;

[0049] Get multiple labels corresponding to multiple image features.

[0050] Wherein, the process of extracting multiple image features in the product picture may include:

[0051] Preprocessing product images;

[0052] Extract multiple imag...

Embodiment 2

[0092] The embodiment of the present invention provides a commodity search method, which is applied to the e-commerce platform, referring to figure 2 As shown, the method includes:

[0093] 201. Extract multiple tags from the product image included in the product search request input by the user, at least one of the multiple tags is used to represent a picture element that the user cannot recognize and / or cannot be described in words.

[0094] Specifically, this step is the same as step 101, and will not be repeated here.

[0095] In the embodiment of the present invention, at least one of the multiple tags extracted from the product picture is used to represent the image element that the user cannot recognize and / or cannot be described in words, since multiple tags can reflect more information about the product and Therefore, the search for products based on multiple tags can enable users to quickly search for products that meet their real purchase needs, thereby improving ...

Embodiment 3

[0108] The embodiment of the present invention provides a commodity search method, which is applied to the e-commerce platform, referring to image 3 As shown, the method includes:

[0109] 301. Extract multiple tags from the product image included in the product search request input by the user, at least one of the multiple tags is used to represent a picture element that the user cannot recognize and / or cannot be described in words.

[0110] Specifically, this step is the same as step 101, and will not be repeated here.

[0111] In the embodiment of the present invention, at least one of the multiple tags extracted from the product picture is used to represent the image element that the user cannot recognize and / or cannot be described in words, since multiple tags can reflect more information about the product and Therefore, the search for products based on multiple tags can enable users to quickly search for products that meet their real purchase needs, thereby improving t...

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PUM

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Abstract

The invention discloses a commodity search method and device and belongs to the technical field of electronic commerce. The method comprises the steps that multiple tags are extracted from a commoditypicture contained in a commodity search request input by a user, wherein at least one of the tags is used for representing picture elements which cannot be recognized by the user and/or cannot be described in language; commodity search results matched with the tags are acquired; and the commodity search results are displayed. Through the embodiment, the user can precisely find a commodity reallymeeting the demand of the user.

Description

technical field [0001] The invention relates to the technical field of electronic commerce, in particular to a commodity search method and device. Background technique [0002] With the popularization of the Internet and the maturity of e-commerce, people are increasingly using e-commerce platforms to obtain commodity information and purchase commodities. [0003] Existing e-commerce platforms generally require users to input keywords, etc., and then perform correlation searches based on keyword matching methods to search for products that users are interested in. Faced with natural language description information, knowledge networks are sometimes used and natural language processing technology to identify user search intent. However, at present, users pay more and more attention to products. If users want to search for the style of clothes, the material of purses, etc., some users can rely on search, while others cannot completely rely on search technology, because more u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/06
CPCG06Q30/0601G06F16/951
Inventor 刘宇董亚楠崔燕红郭师光黄惠燕
Owner 广州唯品会研究院有限公司
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