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Causal influence determination method, device, equipment and storage medium

A determination method and causality technology, which is applied in the determination method of causality impact, equipment and storage media, and the field of devices, can solve the problems of affecting the user's external characteristics, affecting user activity, and not being accurate enough

Pending Publication Date: 2021-06-08
BIGO TECH PTE LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there is a possibility that the user's intrinsic attributes such as the user's age and occupation not only affect the user's external characteristics, but also affect the user's activity. Therefore, according to the Bayesian network, when the user's intrinsic attributes exist Under this circumstance, there may be a correlation between the user's external characteristics and the user's activity, but not necessarily causality
Therefore, it is not accurate enough for related technologies to estimate the impact of user external features on user activity based only on the correlation between user external features and user activity.

Method used

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  • Causal influence determination method, device, equipment and storage medium
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Embodiment Construction

[0029] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0030] Before introducing and describing the embodiments of the present application, some nouns and related technologies involved in the embodiments of the present application are introduced and described.

[0031] 1. Bayesian Network (BN)

[0032] A Bayesian network consists of the following two parts:

[0033] 1. A network structure

[0034] That is, an acyclic directed graph Among them, V is the set of nodes, with V={v 1 ,...,v N} means; A is a set of edges, and each edge can be represented by the nodes corresponding to its two ends, that is, a ij =(v i ,v j ). One thing that needs to be explained is that for directed graphs, the edges have directions (that is, there are (v i ,v j )≠(v j ,v i ), (v i ,v j ) mean...

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Abstract

The invention discloses a causal influence determination method, a device, equipment and a storage medium, and belongs to the technical field of computers and Internet. The method comprises the following steps: acquiring at least one group of user information corresponding to external characteristics of a first user from user information corresponding to at least one user account logged in an application program; determining the occurrence probability of each type of user internal attributes based on the user internal attributes included in the at least one group of user information; based on the user internal attributes and the user activeness included in the at least one group of user information, determining the mathematical expectation of the user activeness when each type of user internal attributes are given; taking the occurrence probability of the internal attributes of each type of users as a weight, and performing weighted summation processing on mathematical expectations of user activeness when the internal attributes of each type of users are given to obtain a first causal effect estimator; according to the embodiment of the invention, the accuracy of correlation analysis of the user activeness is improved, and the user activeness can be effectively improved.

Description

technical field [0001] The embodiments of the present application relate to the field of computer and Internet technologies, and in particular to a causal impact determination method, device, device, and storage medium. Background technique [0002] Watching live broadcast and / or short video has become a common way of entertainment and leisure in people's daily life, and various live broadcast and / or short video applications are emerging in an endless stream. For developers and operators of live broadcast and / or short video applications, user activity is a very important analysis indicator. [0003] User activity refers to how active a user is in a live broadcast and / or short video application. There are various factors that affect user activity, such as the type of terminal used by the user, the operating system equipped with live broadcast and / or short video applications, the age of the user, and the occupation of the user. Among these influencing factors, factors that a...

Claims

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Application Information

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IPC IPC(8): G06K9/62H04N21/2187H04L29/08
CPCH04N21/2187H04L67/535G06F18/24155
Inventor 陈坤龙
Owner BIGO TECH PTE LTD
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