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User use preference based application recommendation method and system

An application recommendation and user technology, applied in data processing applications, special data processing applications, instruments, etc., can solve problems such as resource consumption of user smart terminals, user time, and low operating efficiency, achieving increased possibilities and strong adaptability , the effect of high flexibility

Inactive Publication Date: 2017-08-18
PHICOMM (SHANGHAI) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to obtain the target application that matches their own needs, users often need to perform multiple manual operations such as searching, searching, viewing profiles, and trialing. These operations not only take up a lot of time for users, but also cause users to find target applications that match their own conditions. The operation efficiency is low, and these operations will consume a lot of resources of the user's smart terminal, including CPU resources, storage resources, bandwidth resources, etc., resulting in a waste of resources

Method used

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  • User use preference based application recommendation method and system
  • User use preference based application recommendation method and system
  • User use preference based application recommendation method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0041] A method for recommending applications based on user preferences: Obtain each user's preference for N seed applications and the score values ​​corresponding to each preference, and generate a representation of each user's preference for N seeds in an N-dimensional space based on the score values The preference vector of application preference, which generates the preference value of each user through the preference vector; when any user performs a preset operation on the application program in the system, the preference value is greater than and / or smaller than the preset difference threshold of the user preference value The user, as a target user, sends a message recommending the application program to each target user.

[0042] Such as figure 1 Specifically, it includes the following steps:

[0043] Step 1, obtaining the usage preferences of each user for the N seed application programs, and the score values ​​corresponding to each usage preference;

[0044] Step 2,...

Embodiment 2

[0091] A system for recommending applications based on user preferences, such as Figure 5 shown, including:

[0092] A storage module, used for storing each user registered in the system, as well as N various sub-application programs;

[0093] An acquisition module, which acquires each user's usage preference for the N seed application programs, and the score value corresponding to each usage preference;

[0094] The calculation module generates a preference vector representing each user's preference for N seed application programs in the N-dimensional space according to the scoring value, and generates each user's preference value through the preference vector;

[0095] The recommendation module, when any user performs a preset operation on the application program in the system, the user whose preference value is greater than and / or less than the preset difference threshold of the user preference value is regarded as the target user, and the application program is recommend...

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Abstract

The invention discloses a user use preference based application recommendation method. According to the invention, use preference of different users on N seed application program and grades corresponding to the user preference are acquired and preference values of the users are generated through preference vectors. When a random user performs a preset operation on an application program in a system, target users are determined and a message recommending the application program is sent to the target users. The invention discloses a user use preference based application recommendation system. The system includes a storage module, an acquisition module, a calculation module and a recommendation module. By adopting the method and system provided by the invention, application programs needed by system users can be recommended to the users more efficiency and accurately. On one hand, a complicated process of trying a large quantity of different programs by the users is saved. On the other hand, high quality application programs become available to target customers easier and possibility of acquiring more applications is increased.

Description

technical field [0001] The invention belongs to the technical field of application program recommendation, and in particular relates to a method and system for application recommendation based on user usage preferences. Background technique [0002] With the continuous development of smart terminals and the continuous increase of people's demand for application programs, various applications used on terminals have gradually entered people's field of vision, which facilitates people's lives. There are a large number of application programs of various types to choose from on various application download platforms. On the one hand, the number of these application programs is large, and on the other hand, various application programs are released very quickly. Often, end users have no way of knowing about these apps and probably won't download and use it. Each application provider recommends its new application or frequently used application to the terminal device through the a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06F17/30
CPCG06F16/9535G06Q30/0631
Inventor 杨英英
Owner PHICOMM (SHANGHAI) CO LTD
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