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User Behavior Analysis Method Based on TV Viewing Log Mining

A behavior analysis, user technology, applied in electrical components, electrical digital data processing, selective content distribution, etc., can solve the problem that time-varying characteristics cannot represent the individual user.

Active Publication Date: 2016-04-13
SHANGHAI JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the time-varying nature of these systems cannot represent the behavior of individual users

Method used

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  • User Behavior Analysis Method Based on TV Viewing Log Mining
  • User Behavior Analysis Method Based on TV Viewing Log Mining
  • User Behavior Analysis Method Based on TV Viewing Log Mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0027] The first step is to rewrite the original data into a matrix form according to the program category and the user's viewing time.

[0028] The raw data is the user's M days of watching TV records.

[0029] The rewriting of the original data into a matrix form refers to writing the m-th day record of the user i into the matrix d im ∈R T×N , m=1,..., M, T is the number of time segments divided into one day, N is the number of TV programs classified, d im element of d im The value range of (x, y) is [0, 1], which numerically represents the proportion of the time spent watching TV programs of the yth category by the user in the xth time period in the time period. Wherein, x=1, . . . T, y=1, . . . , N.

[0030] The matrix form refers to the definition of L=T×N, and d im Written in vector form, denoted as For the M-day records of user i, there is like figure 2 shown. Among them, the value of M is the number of days that the user watches TV records in the original d...

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Abstract

The invention provides an excavated user behavior analysis method based on a television watching log. First, according to features of television programs of a user, especially time redundancy and user redundancy and a multi-level and low-rank model, time redundancy is eliminated and a user personal watching module is picked up; then according to a large number of user personal watching modules, user redundancy is eliminated and a overall-situation module is picked up. The user personal watching modules can be expressed through the overall-situation module in a linear mode. Expressing results can be used for user classification. People analyze the user personal watching modules, thereby inferring a user family structure. In addition, the watching module and user population census data which are proposed based on the user behavior analysis method can simulate an internet protocol television (IPTV) system and combine IPTV system operation parameters.

Description

technical field [0001] The present invention relates to a method in the field of data mining, in particular to a user behavior analysis method based on TV watching log mining. Background technique [0002] The analysis and modeling of user behavior is of great significance in the research of today's hybrid networks, especially social networks. Ubiquitous and low-cost computing and communication technologies allow people to access and share information on an unprecedented scale. Such a large amount of data requires new research based on user behavior analysis to help us understand these contents. In addition, the sharing and notification features of popular websites and sophisticated media allow users to stay in touch with friends and relatives; these websites and communication media also help users form explicit and implicit social groups. These social groups are an important source of information for organizing and managing multimedia data. Therefore, analysis and resear...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00H04N21/462
Inventor 罗迪新许洪腾杨小康解蓉张文军
Owner SHANGHAI JIAOTONG UNIV
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