Method for meeting e-commerce scenarized search based on graph database technology

A database and scene technology, which is applied in the application field of graph database and search engine in the e-commerce scene, can solve the problems such as the difficulty of listing all the words in the title, the poor correlation between products and hot words, and the failure to appear products, etc., to improve the consumption experience, The effect of reducing difficulty and reducing the rate of no results

Pending Publication Date: 2021-01-22
上海适享文化传播有限公司
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method based on graph database technology to meet the scene search of e-commerce, which can effectively solve the limitation of the number of titles mentioned in the above background technology that it i

Method used

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  • Method for meeting e-commerce scenarized search based on graph database technology
  • Method for meeting e-commerce scenarized search based on graph database technology

Examples

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Example Embodiment

[0043]Example 1: Such asFigure 1-2As shown, the present invention provides a technical solution, which is based on graph database technology to meet the e-commerce scenario search method, including the following steps:

[0044]S1, build a structured data model;

[0045]S2, structure the attributes of each commodity;

[0046]S3. Add commonly used associated scene word information;

[0047]S4. Knowledge graph search;

[0048]S5. Data collection and statistics;

[0049]S6. Update and associate the scene regularly;

[0050]Based on the above technical solution, in S1, according to the brand information of the current product, the product information is extracted in a relatively structured form, and a structured data model is constructed;

[0051]In S2, the attribute information of each product is structured according to the structured form, and the structured product attribute information is stored in the graph database.

[0052]Based on the above technical solution, S3 adds commonly-used associated scene word in...

Example Embodiment

[0072]Example 2: Such asFigure 1-2As shown, the present invention provides a technical solution, which is based on graph database technology to meet the e-commerce scene search method, including the following steps:

[0073]S1, build a structured data model;

[0074]S2, structure the attributes of each commodity;

[0075]S3. Add commonly used associated scene word information;

[0076]S4. Knowledge graph search;

[0077]S5. Data collection and statistics;

[0078]S6. Update and associate the scene regularly;

[0079]Based on the above technical solution, in S1, according to the brand information of the current product, the product information is extracted in a relatively structured form, and a structured data model is constructed;

[0080]In S2, the attribute information of each product is structured according to the structured form, and the structured product attribute information is stored in the graph database.

[0081]Based on the above technical solution, S3 adds commonly-used associated scene word infor...

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Abstract

The invention discloses a method for satisfying e-commerce scenarized search based on a graph database technology. The method comprises the following steps of constructing a structured data model; structured processing being carried out on the attribute of each commodity; adding the common associated scene word information; knowledge graph searching; collecting and counting data; regularly updating and associating the scene, extracting a relative structured form from the commodity information according to the brand information of the current commodity, and constructing a structured data model.According to the method, different modes of searching are carried out on the commodity, difficulty of searching the commodity by a consumer is reduced, the consumption experience of purchasing the commodity by the consumer is improved, the purchase rate and the purchase rate of the commodity in the e-commerce platform are increased by carrying out rapid searching on the commodity in multiple modes, the search rate of commodity search is improved, and the user experience is improved; the commodity search result-free rate is reduced, the selling rate of the e-commerce platform is increased, theoperating profit of the e-commerce platform is ensured, and a good commodity optimization search effect is achieved.

Description

technical field [0001] The invention relates to the technical field of application of graph databases and search engines in e-commerce scenarios, in particular to a method for satisfying e-commerce scenario search based on graph database technology. Background technique [0002] With the continuous development of information technology, the scope of application of search engines is also increasing. Search engines refer to systems that automatically collect information from the Internet, and after a certain arrangement, provide users with queries. In the field of e-commerce, Through search engines, consumers can quickly locate and accurately obtain the information they want. However, in the current e-commerce platform, due to the large number of product pictures and product types, consumers cannot find information in front of the huge amount of information. Quickly find and locate the products you want in the e-commerce platform; [0003] The current e-commerce search engine...

Claims

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Application Information

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IPC IPC(8): G06F16/9532G06F40/30G06F16/33G06F16/36G06F16/9538
CPCG06F16/9532G06F40/30G06F16/3343G06F16/367G06F16/9538
Inventor 李抒雁沙涛
Owner 上海适享文化传播有限公司
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