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An app recommendation method and system based on app usage records

A technology of APP recommendation and recommendation index, which is used in data processing applications, special data processing applications, instruments, etc.

Active Publication Date: 2021-09-10
SHANGHAI JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies in the above existing technologies, the purpose of the present invention is to provide an APP recommendation method and system based on APP usage records, so as to solve the problem of data sparsity with fewer APP scores on smart terminals and improve the accuracy of recommendation

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  • An app recommendation method and system based on app usage records
  • An app recommendation method and system based on app usage records
  • An app recommendation method and system based on app usage records

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Embodiment Construction

[0041] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0042] Generally speaking, the user's mobile phone use record, that is, when and which APP the user used, contains a wealth of information, such as the user's preference for the APP, the similarity between users, the similarity between APPs, the relationship between etc. First of all, the user's preference for APP. If the user prefers certain APPs, there will be a lot of usage records of th...

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Abstract

The present invention discloses an APP recommendation method and system based on APP usage records. The method includes the following steps: step 1, acquiring the user's APP usage records; step 2, preprocessing the acquired APP usage records, and processing them into Required format; step 3, generate vector representations of users and APPs according to the preprocessing results of APP usage records, and use the joint ranking recommendation algorithm based on vector representations to recommend K APPs for each user. The present invention can solve the problem of intelligent terminal APP scoring Less data sparsity problem, improve the accuracy of APP recommendation.

Description

technical field [0001] The present invention relates to an APP (APPlication, application program) recommendation method and system, in particular to an APP recommendation method and system based on APP usage records. Background technique [0002] With the large-scale popularization of intelligent terminals such as smart phones, smart terminals, such as smart phones, and mobile APPs provide more and more convenience for people's life. At the same time, the number of mobile APPs is also increasing. For example, in 2016, the Google App Store had 2.6 million apps; Apple’s App Store had 2.2 million apps in 2017. The large number of APPs also makes it more and more difficult for people to find an APP that suits their needs, and it will take a lot of time for people to explore interesting APPs. This makes the recommendation method an essential feature that these app stores must have. The recommendation function can help people quickly find apps that meet their needs, and can als...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06Q30/06H04M1/72406
CPCG06F16/9535G06Q30/0631H04M1/72406
Inventor 徐亚南朱燕民
Owner SHANGHAI JIAOTONG UNIV