Application of recommended methods and devices

An application recommendation and application group technology, applied in the network field, can solve the problems of low application conversion rate, low application recommendation accuracy, and unsatisfactory user wishes, and achieve the effect of improving conversion rate and accuracy.

Active Publication Date: 2019-05-07
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the limitations of the analyzed user characteristics, the accuracy of application recommendation is low, the recommended application does not meet the user's wishes, and the user will not download the recommended application, resulting in a low conversion rate of the recommended application

Method used

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  • Application of recommended methods and devices
  • Application of recommended methods and devices
  • Application of recommended methods and devices

Examples

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0026] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0027] figure 1 is a schematic diagram of an application environment of an application recommendation method provided by an embodiment of the present i...

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Abstract

The invention discloses an application recommendation method and device, and belongs to the field of network technology. The method includes: acquiring relevance of each of multiple applications and credit investigation characteristics of multiple users; grouping the multiple applications according to the relevance to obtain a first application group, wherein the first application group includes multiple applications of which relevance is greater than a preset threshold value; for the first application group, establishing a corresponding first prediction model on the basis of the credit investigation characteristics of the multiple users, wherein the first prediction model is used for determining recommendation probability of the applications on the basis of a credit investigation characteristic; and recommending applications to a to-be-recommended user on the basis of the credit investigation characteristic of the to-be-recommended user and the first prediction model. According to themethod, an accuracy rate of recommendation on the applications in the first application group can be increased, the recommended applications can be enabled to more accord with downloading requirements of the user, and thus conversion rates of the applications can be increased.

Description

technical field [0001] The invention relates to the field of network technology, in particular to an application recommendation method and device. Background technique [0002] With the continuous development of network technology, service providers provide more and more services to users through the network, and the services are becoming more and more perfect. For example, when a user wants to download an application, he may download a corresponding application on an application download platform or an application service platform by inputting a search keyword. [0003] In addition to providing the application download function, the application download platform or application service platform can also recommend applications to users. The specific recommendation method can be: analyze user characteristics to recommend applications to different users in a targeted manner. Including age, gender, city, online interaction information and historical download records, etc. For ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 李霖陈培炫陈谦
Owner TENCENT TECH (SHENZHEN) CO LTD
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