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A mining method of iptv user behavior pattern 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: 2021-05-04
HEBEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

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  • A mining method of iptv user behavior pattern based on tdc-lda model
  • A mining method of iptv user behavior pattern based on tdc-lda model
  • A mining method of iptv user behavior pattern 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 a method for mining IPTV user behavior patterns based on the TDC-LDA model. The method first uses the idea of ​​a probability generation model to assume the generation process of the programs watched, the time points of watching and the duration of watching in the specific behavior patterns of users. , establish the TDC-LDA model; secondly, use Gibbs sampling to fit the model, derive the sampling formula of the hidden variable conditional probability and the calculation formula of the user-behavior pattern matrix, interest topic-program matrix and period-time point matrix; and then , according to the Gibbs sampling process of the TDC-LDA model, each user's behavior pattern matrix, interest theme-program matrix and period-time point matrix are obtained; finally, recommendations are made to users through the user's viewing behavior pattern distribution. The present invention proposes a new TDC‑LDA user viewing behavior pattern mining model, and adds viewing duration information on the basis of the 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 Patents(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