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Method and System for Predicting Viewing Behavior of Radio and Television Users

A technology of radio and television and prediction method, which is applied in the field of prediction method and system of radio and television user viewing behavior, and can solve problems such as no listening

Active Publication Date: 2019-08-02
COMMUNICATION UNIVERSITY OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the prior art, the SPEED algorithm is not applied to the prediction of radio and television viewing behavior, and there is no prediction of the user's favorite viewing program or channel combination in the future based on the radio and television user's listening to the program or channel

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  • Method and System for Predicting Viewing Behavior of Radio and Television Users
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  • Method and System for Predicting Viewing Behavior of Radio and Television Users

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Embodiment Construction

[0044] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that these embodiments may be practiced without these specific details. Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0045] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0046] figure 1 It is a flow chart of an embodiment of the radio and television user viewing behavior prediction method of the present invention, as figure 1 As shown, the method for predicting viewing behavior of broadcast television users is a method for predicting viewing behavior based on the SPEED algorithm, including:

[0047] Step 1, collect the viewing behavior data of radio and television users within the set time period to form th...

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Abstract

The invention provides a radio-television user viewing behavior prediction method and system. The method comprises the following steps: acquiring viewing behavior data of a radio-television user within a set time bucket to form a first viewing behavior sequence; dividing the first viewing behavior sequence into multiple second viewing behavior sequences by adopting at least one sequence length; constructing a first viewing behavior sequence prefix tree according to the second viewing behavior sequences; forming multiple third viewing behavior sequences by arranging each branch root node representative viewing behavior in the prefix tree sub-tree and each sub-node viewing behavior after removing the bottom sub-node in lamination order; predicting the internal probability, the escape probability and the prediction probability of the viewing behavior closely following the third viewing behavior sequence based on the SPEED algorithm, the SPEED-C algorithm, the SPEED-CR algorithm or based on the combination of each of above mentioned algorithm and the S-Markov method, thereby obtaining the optimal viewing behavior sequence composed of the third viewing behavior sequence corresponding to the maximum prediction probability and the closely followed viewing behavior combination thereof.

Description

technical field [0001] The present invention relates to the technical field of radio and television, and more specifically, to a method and system for predicting viewing behavior of radio and television users. Background technique [0002] Today, traditional TV media, like new media such as the Internet, attaches great importance to the ratings of programs on their own platforms. Since the viewing results are the accumulation of massive user behaviors, predicting user viewing behaviors will explain the causes of viewing from the source, and it will also facilitate further measures to attract, cultivate, and stabilize loyal users, so as to maintain the bottom line of profitability and create more potential. revenue path. [0003] The SPEED algorithm (sequence prediction with enhanced segment mining) is a sequence prediction algorithm based on the PPM algorithm in the field of data compression and improved by the LeZi Update algorithm and ALZ (Active LeZi) algorithm. Its prin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/258H04N21/442
CPCH04N21/25866H04N21/25891H04N21/44204
Inventor 殷复莲白雪松苏沛
Owner COMMUNICATION UNIVERSITY OF CHINA