Abstract

While the Internet provides people with convenience, it also comes with security concerns. Users can more easily form groups, distort facts, and contribute to some sensitive topics on the internet. As a result, identifying and analyzing users’ online behaviors are critical. This paper creates a new Internet TV industry ecosystem using DM (data mining) technology. The recommendation system model is established based on data from users’ on-demand viewing behavior across the entire network, and the functions of various system modules and their coordination ability are described in detail. The evolution of users’ online time is examined, providing data to support and explain the prediction analysis of users’ click behavior and the analysis of users’ search intent. The type of web page that the user clicks on can reveal the user’s behavior tendency.

Highlights

  • IntroductionWith the development of digital technology, all services such as voice, image, and data transmission in three modern communication forms (telecommunication network, broadcast TV network, and computer Internet) can use common language, and telecom industry, broadcast TV industry, and computer industry with distinct industrial boundaries have common essential characteristics, that is, digital characteristics

  • With the development of digital technology, all services such as voice, image, and data transmission in three modern communication forms can use common language, and telecom industry, broadcast TV industry, and computer industry with distinct industrial boundaries have common essential characteristics, that is, digital characteristics

  • Starting with the Internet TV industry ecosystem’s innovation, this paper investigates how TV media can break through traditional management modes in the context of convergence media, as well as the path and characteristics of current TV profit model innovation, in order to better guide TV practice

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Summary

Introduction

With the development of digital technology, all services such as voice, image, and data transmission in three modern communication forms (telecommunication network, broadcast TV network, and computer Internet) can use common language, and telecom industry, broadcast TV industry, and computer industry with distinct industrial boundaries have common essential characteristics, that is, digital characteristics. The cores of the three networks converge and the boundaries are blurred, resulting in the phenomenon of “three networks merging” [1, 2]. Cable TV operators have the best HD live channel communication capability. Most cable TV operators launch rich on-demand content services based on this model [3]. The rapid development of Internet information technology has resulted in the emergence of a slew of new media, including mobile media and mobile TV, which have had a significant impact on traditional media.

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