Intelligent prediction method of user satisfaction in IPTV video business

Abstract

The invention discloses an intelligent prediction method of a user satisfaction in an IPTV video business, and is used for solving the shortages such as the user satisfaction needs to be measured by subjective scoring, the internal relevancy modeling between the user satisfaction and influence factors thereof is not accurate and reasonable enough, and the like in existing user satisfaction prediction methods. An implementation process of the invention is as follows: first of all, determining factors which affect the user satisfaction and thereafter measuring the user satisfaction objectively by employing a duration that a user uses the service; then, establishing a CART tree model via training, and partitioning to-be-predicted data to related areas by employing the CART tree model; and searching in the areas by employing KNN, and at last taking a distance weighted average as a prediction result. By adopting the method disclosed by the invention, the computation burden in the prediction process can be effectively reduced, and the prediction accuracy is greatly improved.

Description

technical field [0001] The invention relates to the field of intelligent processing of IPTV video service data, in particular to an intelligent prediction method for user satisfaction in the IPTV video service. Background technique [0002] As a product of the integration of TV and the Internet, IPTV meets people's increasingly diversified, professional and personalized audio-visual needs, brings huge changes to the broadcasting and TV industry, and brings a new era to TV audiences. revolution in television consumption. However, the Internet video ecosystem (including content providers, content delivery networks, analysis service providers, video player designers and users) faces an imminent challenge, that is, the lack of an indicator that can predict user satisfaction, which has strong subjective characteristics. standard method. [0003] In existing solutions, the measurement and labeling of user satisfaction is often quantified by user subjective scoring. Although this...

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Problems solved by technology

[0004] The purpose of the present invention is to propose an intelligent prediction method for user satisfaction in IPTV video services in view of the above-mentioned defects in the prior art, which solves the need to measure by subjective scoring in the existing user satisfaction prediction method User satisfaction and the internal correlation modeling between user satisfaction and its influencing factors are not accurate enough and reasonable

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