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A method, device, and computer-readable medium for predicting viewing behavior types

A prediction method and behavior technology, applied in the computer field, can solve problems such as the inability to accurately predict the type of viewing behavior of users

Active Publication Date: 2020-12-01
ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method, device, and computer-readable medium for predicting the type of viewing behavior to solve the problem in the prior art that it is impossible to accurately predict the type of viewing behavior of the user at the next moment

Method used

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  • A method, device, and computer-readable medium for predicting viewing behavior types
  • A method, device, and computer-readable medium for predicting viewing behavior types
  • A method, device, and computer-readable medium for predicting viewing behavior types

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Embodiment Construction

[0042] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0043] see figure 1 , is a flowchart of a method for predicting viewing behavior types provided by the first embodiment of the present invention.

[0044] In step S110, the user's viewing behavior data is acquired, and a corresponding viewing behavior time series is generated.

[0045] During specific implementation, the user's viewing behavior data is obtained, which is the user's viewing behavior data captured by the radio and t...

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Abstract

The invention discloses a watching behavior type prediction method and apparatus, and a computer readable medium, and belongs to the technical field of computers. The method comprises the following steps: obtaining watching behavior data of a user, and generating a corresponding watching behavior time sequence; training a depth learning model by the watching behavior time sequence; obtaining the watching behavior data of the user at present; and predicting the watching behavior type of a next moment according to the depth learning model and the watching behavior data of the user at present. Bytraining the depth learning model by the watching behavior time sequence generated by the obtained watching behavior data of the user, predicting the watching behavior type at the next moment according to the depth learning model and the watching behavior data of the user at present, and by predicting the watching behavior type, more intimate watching contents and more fluent watching experienceare provided for the user so as to improve the loyalty of the user and reduce the loss of radio and television users.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device and computer-readable medium for predicting viewing behavior types. Background technique [0002] The advancement of big data technology has promoted the multi-dimensional, refined and efficient development of the operation and management of radio and television operators, making it possible to conduct full-sample ratings surveys, user portraits, user loss analysis, precise marketing and intelligent decision-making. [0003] However, traditional viewing behavior prediction, user churn and precision marketing analysis methods, such as data mining methods such as decision tree, logistic regression, SVM, collaborative filtering and association rules, have had a hard time improving their performance when the value information is extremely sparse. Bottleneck, it is impossible to accurately predict the type of viewing behavior of the user at the next moment. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/466H04N21/442H04N21/258H04N21/25
CPCH04N21/251H04N21/25891H04N21/44213H04N21/44222H04N21/466H04N21/4667
Inventor 万倩赵明牛妍华欧阳峰
Owner ACADEMY OF BROADCASTING SCI STATE ADMINISTATION OF PRESS PUBLICATION RADIO FILM & TELEVISION