User loss prediction method based on Internet television using behaviors and terminal

An Internet TV and user churn technology, applied in the field of information processing, can solve problems such as the inability to accurately predict the loss of TV users, and achieve the effect of improving picture playback quality and eliminating static afterimages.

Active Publication Date: 2021-03-05
重庆市易平方科技有限公司
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  • Description
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AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a user churn prediction method and terminal based on Internet TV usage behavior, aiming to solve the problem of inability to accurately predict TV user churn in the prior art

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  • User loss prediction method based on Internet television using behaviors and terminal
  • User loss prediction method based on Internet television using behaviors and terminal
  • User loss prediction method based on Internet television using behaviors and terminal

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Embodiment Construction

[0039] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] The user churn prediction method based on Internet TV usage behavior described in the preferred embodiment of the present invention, such as figure 1 and figure 2 As shown, the described user loss prediction method based on Internet TV usage behavior comprises the following steps:

[0041] Step S10, acquiring the user's basic attributes and boot information within a preset period, and constructing a user matrix.

[0042] Specifically, the basic attribute characteristics of the user are obtained, and statistics are made on whether the user is on during each period of the period ...

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Abstract

The invention discloses a user loss prediction method based on Internet television using behaviors and a terminal, and the method comprises the steps: obtaining the basic attribute features of a userand the startup information in a preset period, and constructing a user matrix; obtaining program information data, performing word segmentation vectorization processing on a program introduction, constructing a program matrix, and performing dimension reduction processing on the program matrix to obtain a program introduction matrix; acquiring viewing behavior data of the user, and constructing aprogram preference matrix; and combining the user matrix, the program introduction matrix and the program preference matrix into a calculation matrix, and inputting the calculation matrix into a prediction model to predict a user loss probability. According to the invention, the feature number is increased by collecting the program information in different time periods in the preset period, richuser behavior feature data can be obtained, and the accuracy of television user loss prediction is improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a user loss prediction method and terminal based on Internet TV usage behavior. Background technique [0002] In the existing model methods for prediction of TV user churn, most of the basic attributes such as user region, gender, age, etc., as well as the number and duration of watching programs and the category attributes of programs are extracted as the features in the prediction model, and finally predict To obtain the probability that each user will not use TV for a period of time in the future, the features extracted by this method are relatively basic and cannot obtain rich user behavior feature data. [0003] Therefore, the prior art still needs to be improved and developed. Contents of the invention [0004] The main purpose of the present invention is to provide a user churn prediction method and terminal based on Internet TV usage behavior, ai...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/44H04N21/442H04N21/45G06K9/62
CPCH04N21/44222H04N21/44008H04N21/4532G06F18/23
Inventor 程光剑
Owner 重庆市易平方科技有限公司
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