인공지능을 적용한 OTT 서비스 이용자 트래픽 예측 및 패턴에 관한 연구

• 영문명: A study on OTT service user traffic prediction and pattern applying AI
• 발행기관: 호서대학교 인문사회과학연구소
• 저자명: 남창섭
• 간행물 정보: 『AI와 인간사회』제2권 제2호, 3~24쪽, 전체 22쪽
• 주제분류: 사회과학 > 사회과학일반
• 파일형태: PDF
• 발행일자: 2021.07.31

영문 초록

The purpose of this paper is to study traffic predictions and patterns of OTT (over the top) services that are bringing new trends to the media content market. With the recent generalization of the Internet and mobile and the spread of Covid s abnormal culture, the use of OTT services is increasing further, accelerating the growth. There is increasing interest in whether these media consumption environments can efficiently handle the increasing traffic. In addition, various strategies are required to survive and grow in a rapidly changing smart media environment. Media content user traffic forecasts and patterns play an important role in establishing media content business strategies and business models. In this study, we used artificial intelligence to predict rapidly increasing OTT user traffic and study patterns by period, targeting N company, a representative OTT service provider. The research results aim to contribute to the efficient investment and operation of the infrastructure of Internet service providers and the establishment of media content business strategies for content service providers.

목차

Ⅰ. 서론

Ⅱ. OTT 개요 및 사업 동향

Ⅲ. 인공지능과 결합한 OTT 서비스 경쟁력

Ⅳ. 인공지능기반의 OTT 서비스 트래픽 예측 및 패턴도출

Ⅴ. 결론

키워드

인공지능 기계학습 온라인 동영상서비스 AI(Artificial Intelligence) Machine Learning