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Platform user behavior prediction method, storage medium and terminal

A prediction method and user technology, applied in the computer field, can solve the problem of users being taken away by the live broadcast platform, and achieve the effect of reducing the probability of being taken away

Active Publication Date: 2020-12-25
GUANGZHOU HUYA INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When some influential network anchors are lost in the live broadcast platform, it is easy to cause the users of the live broadcast platform to be taken away by the network anchors

Method used

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  • Platform user behavior prediction method, storage medium and terminal
  • Platform user behavior prediction method, storage medium and terminal
  • Platform user behavior prediction method, storage medium and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] combine figure 1 , the embodiment of the present invention provides a platform user behavior prediction method, including steps:

[0045] S01 Obtain the first sampling data of the sampling user associated with the sampling anchor within the first preset time period before the sampling anchor stops broadcasting, and extract the first characteristic data of the sampling user on the live broadcast platform;

[0046] Wherein, the sampled host is a lost host on the live broadcast platform.

[0047] Specifically, the sampling user associated with the sampling host has watched the platform where the sampling host is located for more than a preset value, has watched the live broadcast of the category to which the sampling host belongs for the most days, and has watched the sampling host for a number of days. the most users; wherein, in this embodiment, the first preset duration is used as a valid time period for predicting user behavior, and the preset value is used as a value...

Embodiment 2

[0109] In this embodiment, the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the platform user behavior prediction method described in the first embodiment is implemented. Wherein, the storage medium includes but is not limited to any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory, read-only memory), RAM (Random Access Memory, immediately Memory), EPROM (EraSable Programmable Read-Only Memory, Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, a storage medium includes any medium that stores or transmits information in a form readable by a device (eg, a computer). It can be read-only memory, disk or CD-ROM, etc.

Embodiment 3

[0111] combine image 3 , in this embodiment, the present invention also provides a terminal, the terminal includes:

[0112] one or more processors;

[0113] memory;

[0114] One or more computer programs, the one or more computer programs are stored in the memory; the one or more computer programs are executed by the one or more processors to implement the platform as described in Embodiment 1 A predictive approach to user behavior.

[0115] like image 3 As shown, for the convenience of description, only the part related to the embodiment of the present invention is shown, and the specific technical details are not disclosed, please refer to the part of the method of the embodiment of the present invention. The terminal can be any terminal device including mobile phone, tablet computer, PDA (Personal Digital Assistant, personal digital assistant), POS (Point of Sales, sales terminal), vehicle-mounted computer, etc. Taking the terminal as a mobile phone as an example:

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Abstract

The invention provides a prediction method for a platform user behavior, which comprises the steps of: acquiring first sampled data of a sampled user associated with a sampled anchor, and extracting first feature data; acquiring second sampled data of the sampled user, and extracting second feature data; according to the first feature data and the second feature data, establishing a prediction model, wherein the prediction model represents a corresponding relationship of the first feature data and the second feature data; and acquiring to-be-predicted data of a to-be-predicted user associatedwith a to-be-predicted anchor, and extracting first feature data; and importing the first feature data of the to-be-predicted data into the prediction model to obtain retained days for the to-be-predicted user to view a platform in second preset duration after a prediction day. According to the technical scheme, prediction on the platform user behavior in a live broadcasting platform can be implemented so as to make a coping strategy. The invention further provides a storage medium and a terminal.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular, the present invention relates to a platform user behavior prediction method, storage medium and terminal. Background technique [0002] Internet anchor is a profession with strong comprehensive ability. An excellent Internet anchor often faces tens of millions of online viewers, and communicates and interacts with online users in real time. With the vigorous development of the network anchor industry and the promotion of the live video industry, the classification of network anchors and the forms of live broadcast are becoming more and more abundant. Due to the rapid development of the live broadcast industry, the competition among various live broadcast platforms has become increasingly fierce, resulting in high mobility of users using live broadcast platforms, which directly affects the economic benefits of live broadcast platforms. Among them, the most direct influenc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/24H04N21/258H04N21/442H04N21/466H04L12/24G06Q10/04
CPCG06Q10/04H04L41/147H04N21/24H04N21/25866H04N21/25891H04N21/44213H04N21/4667
Inventor 刘静
Owner GUANGZHOU HUYA INFORMATION TECH CO LTD