Method and device for application recommendation and server

A technology for application recommendation and user application in special data processing applications, instruments, data mining, etc., which can solve problems such as strong subjectivity, high labor costs, and inability to guarantee accuracy, so as to reduce labor costs, improve accuracy, and improve The effect of accuracy

Inactive Publication Date: 2017-03-15
GUANGZHOU UC NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has certain limitations: first, when there are a large number of tags, a huge labor cost is required; se

Method used

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  • Method and device for application recommendation and server
  • Method and device for application recommendation and server
  • Method and device for application recommendation and server

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Embodiment Construction

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0021] It should be noted that like numerals and let...

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Abstract

The embodiment of the invention provides a method and device for application recommendation and a server. The method comprises the steps of obtaining attribute labels corresponding to target users; according to the attribute labels and a preference value of each application by a user group having the attribute label, obtaining preference values of the target users for each application; and based on the preference values of the target users for each application, recommending applications for the target users. According to the method, under the conditions of no supervision, the preference of the user group under the different attribute labels is automatically identified according to user behavior data, personalized recommendation for the users is performed according to the attribute labels which the users have, the mode greatly reduces human cost, and the recommending accuracy is improved through objective analysis of the user behavior data.

Description

technical field [0001] The present invention relates to the field of computer applications, in particular to an application recommendation method, device and server. Background technique [0002] With the rapid development of mobile terminal technology and network technology, more and more users choose to download application software on mobile terminals such as mobile phones or tablets, and various application acquisition platforms specially designed for mobile terminal users, such as application stores, should also be implemented And born. [0003] During the operation of the app store, the operators of the app store can obtain many natural attributes of users through means such as user registration information and questionnaire surveys. The usual practice is to organize these natural attributes into tags, such as: "Student Party", " Foodies”, “game fans”, “post-90s”. Furthermore, according to different labels, special operators select applications that people with such ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535G06F2216/03
Inventor 潘岸腾
Owner GUANGZHOU UC NETWORK TECH CO LTD
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