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Application analysis method, apparatus, computing device, and storage medium

An application analysis and inter-application technology, applied in the field of application promotion, to achieve the effect of reducing useless calculations, improving calculation efficiency, and reducing calculations

Active Publication Date: 2019-03-22
ALIBABA (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The applications recommended by the existing application recommendation methods can meet the user's application needs to a certain extent, but this method needs to calculate the correlation between any two applications, and the applications that users often use and can represent user preferences often It only accounts for a small number of apps installed by users, so the existing app recommendation method will cause a lot of extra calculations

Method used

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  • Application analysis method, apparatus, computing device, and storage medium
  • Application analysis method, apparatus, computing device, and storage medium
  • Application analysis method, apparatus, computing device, and storage medium

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Embodiment Construction

[0048] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0049] As mentioned in the background technology section, the existing application recommendation method needs to calculate the correlation between any two applications, which requires a large amount of calculation and the calculation result cannot accurately represent the user's application preference. For this reason, the inventors of the present application found after in-depth research that the installed applications on the terminal devi...

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PUM

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Abstract

The invention discloses an application analysis method and APPARATUS, a computing device and a storage medium. Wherein, calculating an association degree between any two of a plurality of applicationsinstalled on the terminal device to obtain the association degree information between the plurality of applications; Calculating a criticality degree of each application in a plurality of applications according to the correlation degree information; selecting Applications having a criticality greater than a first predetermined threshold value and / or a first predetermined number of applications ranked high in criticality from a plurality of applications as critical applications of the terminal device. Therefore when recommending a new application to a user, only the degree of interest of the user in the key application can be calculated, so that the operation can be greatly reduced and the operation efficiency can be improved without affecting the accuracy of the recommendation.

Description

technical field [0001] The present invention relates to the technical field of application promotion, in particular to an application analysis method, device, computing device and storage medium for analyzing installed applications on a terminal device. Background technique [0002] The applications installed on the terminal device can represent the user's preference to a certain extent, so new applications can be recommended to the user according to the list of installed applications on the terminal device. Most of the existing application recommendation methods do not consider the characteristics of the application itself, but only consider the correlation between applications. Through the correlation between applications and the user's application installation list, the user's interest in other applications is calculated, and finally Recommend new apps to users according to their level of interest, thereby increasing app downloads. [0003] The applications recommended b...

Claims

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Application Information

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IPC IPC(8): G06F9/46
CPCG06F9/466
Inventor 陈雄黄振
Owner ALIBABA (CHINA) CO LTD
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