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An application recommendation method and system

A technology for application recommendation and various applications, applied in the computer field, can solve problems such as inability to objectively guarantee, low efficiency, strong subjectivity, etc., to achieve the effect of improving recommendation efficiency and reducing labor costs

Active Publication Date: 2021-02-12
BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If it is done completely manually, it will consume a lot of human resources every day, and the efficiency is very low
In addition, manual editing, review, and sorting methods are highly subjective, and cannot objectively guarantee that the recommended APP is a high-quality APP that users tend to use

Method used

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  • An application recommendation method and system
  • An application recommendation method and system
  • An application recommendation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] refer to figure 1 , which shows a flow chart of the steps of an embodiment of the application recommendation method of the present invention, which may specifically include the following steps:

[0058] Step 110, acquiring user behavior records related to applications and analyzing each application to obtain a first application candidate set.

[0059] In the embodiment of the present invention, large-scale application-related user behavior records may be used, such as the number of times a user browses a page where an application is located, the number of times a user downloads a certain application, and the like.

[0060] It can be understood that in this embodiment of the present invention, the user behavior records can be obtained from servers of various websites. Generally speaking, the user behavior records are stored in the access logs of the server, and the embodiment of the present invention can obtain the user behavior records related to the application throug...

Embodiment 2

[0118] refer to figure 2 , which shows a flow chart of the steps of an embodiment of the application recommendation method of the present invention, which may specifically include the following steps:

[0119] Step 210, acquiring user behavior records related to applications and analyzing each application to obtain a first application candidate set.

[0120] Step 220, obtaining applications in at least one application recommendation page of the application management platform and analyzing each application to obtain a second set of application candidates.

[0121]In practical applications, existing application management platforms in the network may also have application recommendation pages, or application recommendation pages, which are generally manually edited by technical personnel and have certain reference value. Then the present invention can specify to grab the specified application recommendation pages of other application management platforms, that is, capture the...

Embodiment 3

[0154] refer to image 3 , which shows a flow chart of the steps of an embodiment of the application recommendation method of the present invention, which may specifically include the following steps:

[0155] Step 310, acquiring user behavior records related to applications and analyzing each application to obtain a first application candidate set.

[0156] Step 320, acquiring at least one application in the application recommendation page of the application management platform and analyzing each application to obtain a second application candidate set.

[0157] Step 330, merging the first application candidate set and the second application candidate set to obtain a recommended application set.

[0158] Step 340, for each application in the recommended application set, classify the application according to the classification label model.

[0159] Optionally, after step 330, it may also include:

[0160] In step 300, an application classification label model is constructed...

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Abstract

Embodiments of the present invention provide an application recommendation method and an application recommendation system, which relate to the technical field of computers. The method includes: obtaining user behavior records related to applications and analyzing each application to obtain a first application candidate set; obtaining a recommended application set according to the first application candidate set; Each application in the . The embodiment of the present invention integrates the user's access behavior, obtains a higher-quality APP recommendation list through relatively objective statistics, reduces labor costs, and improves recommendation efficiency.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an application recommendation method and an application recommendation system. Background technique [0002] Mobile terminals represented by mobile phones and tablet computers have developed rapidly in recent years, and the performance of CPU and storage devices has been greatly improved. Correspondingly, the applications on mobile terminals have become more and more abundant, and the user interface has become more and more friendly. . [0003] Many functions of the mobile terminal require an application (APP) installed on the mobile terminal to complete. Then how to find suitable software and find games of interest are problems faced by mobile terminal users when using mobile terminals. In this way, various application management platforms came into being, such as: Sogou Mobile Assistant, 360 Mobile Assistant, 91 Mobile Assistant, Pea Pod Mobile Assistant, Xiaomi App...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 肖镜辉田乐逍
Owner BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD