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Knowledge graph improvement method and apparatus

A knowledge graph and picture technology, applied in the field of knowledge graph improvement, can solve the problems of inability to achieve accurate product search, simple and rough labels, etc., and achieve the effect of accurate search and rich labels

Active Publication Date: 2018-03-02
GUANGZHOU PINWEI SOFTWARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the labels of products included in the product knowledge graph or user knowledge graph usually only identify the basic characteristics of the product such as brand, color, material, size, and basic style, and the labels are based on the information provided by the seller and user when uploading the product. , which are directly marked on the product after manual review. However, users are paying more and more attention to the product. If the user wants to search for products with characteristics other than the basic characteristics of the product, such as searching for a product with a specified pattern, It will lead to the inability to realize precise search for products because the knowledge map does not contain the corresponding tags; in addition, it is also impossible to realize accurate recommendations for users to purchase products based on the user's attention to the products.
[0004] Therefore, in the existing technology, there is a problem that the product labels of the knowledge graph are relatively simple and rough. It is urgent to improve the knowledge graph and enrich the labels in the knowledge graph, so as to realize the accurate search of products by users and the accurate recommendation of products purchased by users.

Method used

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  • Knowledge graph improvement method and apparatus

Examples

Experimental program
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Effect test

Embodiment 1

[0071] The embodiment of the present invention provides a method for improving the knowledge map, referring to figure 1 As shown, the method includes:

[0072] 101. Extract the label of the product from the product information including at least the product picture.

[0073] Specifically, the product information only includes product images, and the product labels are extracted from the product information containing the product images. This process may include:

[0074] Extract image features from product images;

[0075] Get labels corresponding to image features.

[0076] The product information includes product images and product text description information, and the label of the product is extracted from the product information that includes at least the product image. The process may include:

[0077] extracting image features from product images; and

[0078] Extract the keywords in the text description information;

[0079] Determine the label of the product accor...

Embodiment 2

[0085] The embodiment of the present invention provides a method for improving the knowledge map, referring to figure 2 As shown, the method includes:

[0086] 201. Extract a label of a product from product information including at least a product image.

[0087] Wherein, the commodities in the commodity pictures may be clothing, food, cosmetics, furniture, daily necessities or other commodities.

[0088] The label of the product is used to describe the product, and the label can identify the product name, brand, size, color, style, pattern, pattern, or be used to indicate the definition of the scope of general or summary features in the product, among which the style can include "original style", "military style", "retro style", "sweet and cute", etc.; used to indicate the definition of general or summary features in a product, such as "slimming", "bright color", etc.

[0089] In addition, the label may also be other information that can be used to identify the product, an...

Embodiment 3

[0150] The embodiment of the present invention provides a method for improving the knowledge map, referring to image 3 As shown, the method includes:

[0151] 301. Extract a label of a product from product information including at least a product picture.

[0152] Specifically, this step is the same as step 201, and will not be repeated here.

[0153] In the embodiment of the present invention, since the label of the product is extracted from the product information including the product picture and text description information, it can reflect more information and characteristics of the product, so that the label of the product is further enriched, diversified and refined .

[0154] 302. Add the extracted tags to a tag library.

[0155] Specifically, when it is recognized that the extracted tags are not included in the tag library of the knowledge graph, the extracted tags are added to the tag library.

[0156] The present invention does not limit the specific determinati...

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Abstract

The present invention discloses a knowledge graph improvement method and apparatus, and belongs to the technical field of e-commerce. The method comprises extracting a tag of a commodity from commodity information at least including commodity pictures; adding the extracted tag into a knowledge graph, the knowledge graph including a commodity knowledge graph and / or user knowledge graph; and settinga relationship corresponding to the tag in the knowledge graph. According to the embodiments, the tags in the knowledge graph can be enriched, accurate search of the commodities by a user can be achieved, and accurate recommendation of the commodities purchased by the user can be achieved.

Description

technical field [0001] The invention relates to the technical field of e-commerce, in particular to a method and device for improving a knowledge map. Background technique [0002] Knowledge graph is a graph-based data structure, its nodes represent entities or concepts, and edges represent various semantic relationships between entities / concepts. By using knowledge graphs in search engines, better Query complex related information accurately, understand user intent from the semantic level, and improve search quality. For example, in the field of e-commerce, using product knowledge graphs can help users search for corresponding products, and using user knowledge graphs can help recommend products to users. [0003] In the existing technology, the labels of products included in the product knowledge graph or user knowledge graph usually only identify the basic characteristics of the product such as brand, color, material, size, and basic style, and the labels are based on th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/06
CPCG06Q30/0631G06F16/367
Inventor 徐然崔燕红张智祺黄惠燕郭安琪
Owner GUANGZHOU PINWEI SOFTWARE
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