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Feature evaluation method and device influencing user retention

A user and feature value technology, applied in the field of data processing, can solve the problem of low retention rate of new users

Pending Publication Date: 2021-04-20
BIGO TECH PTE LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Under normal circumstances, if the platform side does not take actions to increase the retention rate, the retention rate of new users will be at a relatively low level

Method used

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  • Feature evaluation method and device influencing user retention
  • Feature evaluation method and device influencing user retention
  • Feature evaluation method and device influencing user retention

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] figure 1 It is a flow chart of an embodiment of a feature evaluation method that affects user retention provided in Embodiment 1 of this application. This embodiment can be applied to a server, and may specifically include the following steps:

[0025] Step 110, according to a plurality of designated characteristic variables, collect corresponding designated characteristic values ​​of each account in the current platform.

[0026] In one embodiment, the specified characteristic variable can be a characteristic variable specified by the platform side based on prior knowledge and has a certain impact on user retention, or it can be a characteristic variable set according to actual business needs. No limit.

[0027] For example, for a live broadcast platform, the specified characteristic variables may include but not limited to: language characteristics, country characteristics, registration characteristics, age characteristics, gender characteristics, device information,...

Embodiment 2

[0107] image 3 A structural block diagram of an embodiment of a feature evaluation device that affects user retention provided in Embodiment 2 of the present application may include the following modules:

[0108] A designated characteristic value collection module 310, configured to collect corresponding designated characteristic values ​​of each account in the current platform according to a plurality of designated characteristic variables;

[0109] The retention information acquisition module 320 is used to obtain retention information of each account, and the retention information is used to reflect whether the current account is a retention account;

[0110] An intervention variable determination module 330, configured to determine an intervention variable according to the collected specified characteristic value;

[0111] The causal effect determining module 340 is configured to use a causal inference algorithm in combination with the retention information to determine...

Embodiment 3

[0143] Figure 4 A schematic structural diagram of an electronic device provided in Embodiment 3 of the present application, such as Figure 4 As shown, the electronic device includes a processor 410, a memory 420, an input device 430, and an output device 440; the number of processors 410 in the electronic device may be one or more, Figure 4 Take a processor 410 as an example; the processor 410, memory 420, input device 430 and output device 440 in the electronic device can be connected by bus or other methods, Figure 4 Take connection via bus as an example.

[0144] The memory 420, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules corresponding to the methods in the embodiments of the present application. The processor 410 executes various functional applications and data processing of the electronic device by running software programs, instructions and modules sto...

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PUM

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Abstract

The invention discloses a feature evaluation method and device influencing user retention. The method comprises the steps: collecting a corresponding specified feature value of each account in a current platform according to a plurality of specified feature variables; acquiring retention information of each account, wherein the retention information is used for reflecting whether the current account is a retention account or not; determining an intervention variable according to the acquired specified characteristic value; and determining a causal effect of the intervention variable on user retention by combining the retention information and adopting a causal inference algorithm. According to the embodiment of the invention, the influence of each characteristic variable on user retention is judged through a causal inference method, so that key factors influencing the user retention can be quickly analyzed, and after the key factors are obtained, a platform party can perform targeted improvement on the factors through some customized strategies, so that the retention rate of the user is improved.

Description

technical field [0001] The embodiments of the present application relate to data processing technologies, and in particular to a method and device for evaluating features that affect user retention. Background technique [0002] In the Internet industry, users who start using the application within a certain period of time and continue to use the application after a period of time are considered retention. The ratio of these users to new users at that time is the retention rate. The concept of retention can be used to analyze the service effect of an application or website, and determine whether the application or website can retain users. What the retention rate reflects is actually a conversion rate, that is, the process of converting initial unstable users into active users, stable users, and loyal users. Under normal circumstances, if the platform side does not take actions to increase the retention rate, the retention rate of new users will be at a relatively low level...

Claims

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Application Information

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IPC IPC(8): G06F16/958G06N5/04G06N20/20
Inventor 陈坤龙
Owner BIGO TECH PTE LTD
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