Information recommending method and apparatus

A technology of information recommendation and commodity information, applied in the field of big data, can solve the problems of inability to realize personalized recommendation and poor recommendation accuracy, and achieve the effect of personalized recommendation and accurate recommendation.

Inactive Publication Date: 2017-03-22
广州市万表科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For massive product information, users need to spend a lot of time searching. For this, e-commerce platforms usually recommend product information, but the existing recommendations are not accurate enough, and personalized recommendations cannot be realized, which cannot really meet the needs of users.

Method used

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  • Information recommending method and apparatus
  • Information recommending method and apparatus

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Embodiment Construction

[0018] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0019] see figure 1 , figure 1 is a schematic flowchart of an embodiment of the information recommendation method of the present invention, such as figure 1 shown, including the following steps:

[0020] S11. Obtain related information of the user, where the related information includes attribute information and / or shopping information.

[0021] The relevant information is user information on the Internet, specifically user information on the watch purchase platform and user information on other third-party platforms.

[0022] Wherein, the attribute information includes one or more of the following: age, region, gender, and income. Shopping information includes one or more of the following: access content, access time, shopping records, shopping time, shopping brands, and payment methods. Here, the access content refers to the content of the visi...

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Abstract

The invention discloses an information recommending method, comprising: obtaining relevant information of users wherein the relevant information comprises the attribute information and / or purchase information; quantifying the attribute information and / or purchase information; based on the quantified information, calculating the similarity among users; according to the similarity, conducting classifications; marking the users in the same classification; and recommending commodity information to users marked in the same classification. The invention also discloses an information recommending apparatus. With the invention, it is possible to mark users and to accurately recommend commodity information to the users. It is also possible to realize customized recommendations.

Description

technical field [0001] The present invention relates to the technical field of big data, in particular to an information recommendation method and device. Background technique [0002] With the popularization of the Internet and the development of e-commerce, people are increasingly using e-commerce platforms to acquire commodity information and purchase commodities. For massive product information, users need to spend a lot of time searching. For this, e-commerce platforms usually recommend product information, but the existing recommendations are not accurate enough, and personalized recommendations cannot be realized, which cannot really meet the needs of users. . [0003] How to make personalized and accurate recommendations for users is of great significance for improving user experience. Contents of the invention [0004] The purpose of the present invention is to solve at least one of the above problems, and provide an information recommendation method and device....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0201G06Q30/0202G06Q30/0255
Inventor 陈文峰
Owner 广州市万表科技股份有限公司
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