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Shopping recommended method and system

A recommendation method and system technology, applied in the network field, can solve the problem of low correlation

Inactive Publication Date: 2017-02-15
广东华邦云计算股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a shopping recommendation method and system, aiming to solve the problem that the products recommended by the current system are less related to customers

Method used

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  • Shopping recommended method and system
  • Shopping recommended method and system

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] figure 1 It is a flow chart of the shopping recommendation method provided by the embodiment of the present invention.

[0026] In S101, the matching scores of user-defined tags, system product tags, and merchant product tags are obtained respectively.

[0027] Before S101, it also includes building a commodity library, such as figure 2 shown.

[0028] S201: configure the system commodity label;

[0029] S202: Classify and manage the commodities according to the system commodity labels;

[0030] S203: Receive the product label defined by the merchant;

[0031] S204: Receive user-defin...

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Abstract

The invention belongs to the network technical field and provides a shopping recommendation method and system. The shopping recommendation method includes the following steps that: the matching score of a label defined by a user, a system commodity label and a merchant commodity label is obtained; the consumption ability score of the user is obtained; the rating score of commodity quality and merchant service, which is provided by the user, is obtained; the matching score, the consumption ability score and the grading score are added together, so that a total recommendation score can be obtained; and commodity recommendation information is generated and is recommended to the user according to the total recommendation score. According to the shopping recommendation method and system of the invention, the total recommendation score is determined by analyzing user information, commodity information and rating information, and comprehensive consideration of multi-faceted information makes the degree of association between a recommended commodity and the user improved.

Description

technical field [0001] The invention belongs to the field of network technology, and in particular relates to a shopping recommendation method and system. Background technique [0002] With the development of the Internet, people are in an era of information explosion. Compared with the lack of information in the past, in the face of massive information data at this stage, screening and filtering of information has become a measure of the quality of a system. [0003] A system with a good user experience will screen and filter a large amount of information, and present the information that users are most concerned about and interested in, which greatly increases the efficiency of the system and saves the time for users to screen information. [0004] The algorithm adopted by the current shopping recommendation system is to recommend products through the user's submission of purchase needs, combined with the user's location, interest type, item type, etc., but the products r...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 林填彬林绿德刘以续薛俊钊张慧吴昌培
Owner 广东华邦云计算股份有限公司
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