Commodity recommendation method and system

A product recommendation and product technology, applied in the field of product recommendation methods and systems, can solve problems such as inability to accurately recommend user products and insufficient pertinence, and achieve the effects of saving selection time and cost, improving user experience, and high accuracy

Inactive Publication Date: 2018-03-30
杨明
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, products are usually recommended to users based on product sales and browsing records. This method is not targeted enough and cannot accurately recommend products that users need.

Method used

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  • Commodity recommendation method and system
  • Commodity recommendation method and system

Examples

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Embodiment Construction

[0064] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0065] like figure 1 as shown, figure 1 It is a flow chart of a product recommendation method in the present invention. A commodity recommendation method specifically includes the steps of:

[0066] S1. Obtain the purchase record of the user, and determine the purchased product according to the purchase record;

[0067] S2. Query the commodity attributes of the purchased commodity through the preset commodity database, and store multiple sets of commodity identification codes and commodity attributes corresponding to each other in the commodity database;

[0068] S3. Match potential intended commodities in the commodity database according to the commodity attributes of the purchased commodities, and output the co...

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Abstract

The present invention relates to a product recommendation method and system; the method includes: obtaining a user's purchase record; querying the product attributes of the purchased product through a preset product database; matching potential intended products in the product database according to the product attributes of the purchased product; Recommend potential products to users. The system includes: a record acquisition module, which is used to obtain the user's purchase records; an attribute query module, which is used to query the product attributes of the purchased products through the preset product database; Match potential intended products within; the recommendation module is used to recommend potential intended products to users. For e-commerce platforms, active marketing to users can help improve user experience and increase user satisfaction; for users, personalized recommendations for potential products based on user purchase records save time and cost for selection.

Description

technical field [0001] The invention relates to the field of electronic commerce, in particular to a product recommendation method and system. Background technique [0002] E-commerce is a business activity centered on commodity exchange by means of information network technology. E-commerce has greatly affected people's lifestyles. When they need a certain product, more and more people are more willing to buy it through the e-commerce platform. This has brought a strong impact on the traditional business model, but also ushered in valuable opportunities for the development of e-commerce. [0003] There are so many types of goods on the e-commerce platform, it takes a lot of time for users to choose the goods they need from the dazzling array of goods. For this reason, e-commerce platforms will recommend products for users. In the prior art, products are usually recommended to users based on product sales and browsing records, which is not pertinent enough and cannot accu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0631G06Q30/0255
Inventor 杨明
Owner 杨明
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