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IPTV user behavior pattern mining method based on TDC-LDA model

A pattern mining and user technology, applied in image communication, selective content distribution, electrical components, etc., can solve the problem of ignoring the use of program viewing time

Active Publication Date: 2019-08-20
HEBEI UNIV OF TECH
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  • Abstract
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Problems solved by technology

[0004] The above improved algorithms based on the LDA model have achieved good results in user behavior modeling, but these methods ignore the use of program viewing time, and the program viewing time largely reflects the user's love for the program

Method used

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  • IPTV user behavior pattern mining method based on TDC-LDA model
  • IPTV user behavior pattern mining method based on TDC-LDA model
  • IPTV user behavior pattern mining method based on TDC-LDA model

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Embodiment Construction

[0037] Specific examples of the present invention are given below. The specific embodiments are only used to further describe the present invention in detail, and do not limit the protection scope of the claims of the present application.

[0038] The invention provides a kind of IPTV user behavior pattern excavation method (abbreviation method) based on TDC-LDA model, it is characterized in that the method comprises the following steps:

[0039] Step 1, research the viewing behavior of IPTV programs; figure 1 It shows the user ratings curves of a cartoon, a romance film and a variety show within three weeks. The abscissa in the figure records the starting time of each Monday, and the number of views is counted at intervals of two hours. The vertical axis records the play times of each program; figure 1 It can be seen that this curve (the viewing behavior of IPTV users) has a strong periodicity, and its cycle is one week; assuming that the same type of program will be watche...

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Abstract

The invention discloses an IPTV user behavior mode mining method based on a TDC-LDA model, and the method comprises the steps: firstly, assuming the generation process of a program watched in a specific behavior mode of a user, a watching time point and a watching time length by using the idea of a probability generation model, and building the TDC-LDA model; secondly, carrying out model fitting in a Gibbs sampling mode, and deducing a sampling formula of hidden variable condition probability and a calculation formula of a user-behavior mode matrix, an interest theme-program matrix and a timeperiod-time point matrix; then, according to a Gibbs sampling process of the TDC-LDA model, obtaining a behavior mode matrix, an interest theme-program matrix and a time period-time point matrix of each user; and finally, making recommendation to the user through the viewing behavior pattern distribution of the user. The invention provides a novel TDC-LDA user viewing behavior pattern mining model, and viewing duration information is added on the basis of an existing cLDA model.

Description

technical field [0001] The invention relates to a method for mining IPTV user behavior patterns, in particular to a method for mining IPTV user behavior patterns based on a TDC-LDA model. Background technique [0002] With the development of the Internet, IPTV (Internet Protocol Television) is rapidly popularized, and its massive video resources and high-quality services have attracted a large number of users. IPTV uses broadband network to deliver multimedia information to users, and provides users with a variety of interactive services including digital TV. On the basis of traditional TV, it adds interactive functions such as on-demand and playback, which enables better interaction between TV viewers and TV service providers. However, with the rapid growth of network information carrying capacity, video resources in IPTV emerge in endlessly, which not only causes certain troubles for users to find programs, but also directly affects users' satisfaction with the IPTV platf...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/442H04N21/466H04N21/45
CPCH04N21/44204H04N21/44213H04N21/4532H04N21/4667
Inventor 顾军华李晓雪杨亮谢志坚田泽培陈博佘士耀张亚娟
Owner HEBEI UNIV OF TECH
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