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Method for topic mining and application recommendation of user

A technology for application recommendation and user application, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as large differences in the amount of installed applications

Active Publication Date: 2016-11-09
广州展翼信息科技有限公司
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AI Technical Summary

Problems solved by technology

However, the user's installed application list cannot be directly used as a feature, because the amount of installed applications for each user varies greatly

Method used

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  • Method for topic mining and application recommendation of user
  • Method for topic mining and application recommendation of user
  • Method for topic mining and application recommendation of user

Examples

Experimental program
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Embodiment 1

[0046] A method for topic mining and application recommendation for users, comprising the following steps:

[0047] S1: Calculate the weight of the application's contribution to the user's topic;

[0048] S2: Establish a probabilistic graphical model of the user's selection process when installing the application;

[0049] S3: Calculate the parameters of the probability graph model, and complete the topic mining and application recommendation.

[0050] Further, in the step S1, the weight value of the contribution of the application to the user topic is calculated:

[0051]

[0052] Among them, user represents a user, app represents an application installed by the user, and L user Indicates the number of applications installed by user user, L average Indicates the average number of applications installed by a user, |U| indicates the total number of users in the data set, n app Indicates the total number of users who have installed the app. weight is an integer greater tha...

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Abstract

The invention provides a method for topic mining and application recommendation of a user. The method comprises the following steps of firstly, quantitatively calculating a weight for weighing a certain application installed by the user on topic contribution of the user, and building a model installed by a user selection application according to the weight; and finally, calculating a parameter of the built model so that the process of the user selection application can be simulated and expected application software is recommended to the user. By the method, the functions of user mining and potential characteristics of the application are achieved according to an installation application list of the user, and the function of recommending an application in which the user is interested to the user is achieved.

Description

technical field [0001] The invention relates to the field of data mining, and more specifically, to a method for topic mining and application recommendation for users. Background technique [0002] On the mobile platform, user mining topics are often based on some obvious tags of users, such as age, activity level, geographical location, etc. In fact, the user's installed application list can also reflect some theme preferences of the user. However, since the distribution of the amount of applications installed by users is extremely uneven, and users in different countries or regions have great differences in their preferences for the same application, it is difficult for this part of information to be used reasonably. Using traditional topic mining algorithms, such as the LDA algorithm, the topics mined cannot reflect the user's topic distribution and geographic location influence. [0003] The topic distribution contained in the user's installed application list and geog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 胡浩柏杨刘冶印鉴
Owner 广州展翼信息科技有限公司
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