Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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User control based OTT content search algorithms

사용자 제어기반 OTT 콘텐츠 검색 알고리즘

  • 김기영 (서일대학교 컴퓨터소프트웨어과) ;
  • 서유화 (숭실대학교 컴퓨터학과) ;
  • 박병준 (서일대학교 컴퓨터소프트웨어과)
  • Received : 2015.04.15
  • Accepted : 2015.04.29
  • Published : 2015.05.30
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Abstract

This research is focused on the development of the proprietary database embedded in the OTT device, which is used for searching and indexing video contents, and also the development of the search algorithm in the form of the critical components of the interface application with the OTT's database to provide video query searching, such as remote control smartphone application. As the number of available channels has increased to anywhere from dozens to hundreds of channels, it has become increasingly difficult for the viewer to find programs they want to watch. To address this issue, content providers are now in need of methods to recommend programs catering to each viewer's preference. the present study aims provide of the algorithm which recommends contents of OTT program by analyzing personal watching pattern based on one's history.

본 논문에서는 비디오 콘텐츠 검색 및 관리를 위하여 OTT 디바이스 내부의 DB 개발과 이와 연동하여 비디오 질의 검색 서비스를 탑재할 인터페이스(리모콘 스마트폰) 어플리케이션에서 필수적인 요소인 검색 알고리즘의 개발 방법을 제안한다. 디지털 방송이 시작되고 각 가정에 보급이 됨으로써 사용자들이 선택하여 시청하는 채널 및 프로그램의 수와 종류는 공중파 환경과 비교하여 폭발적으로 증가하였다. 채널의 수가 수십에서 수백 개로 늘어남에 따라 사용자는 자신이 원하는 프로그램을 찾기가 점점 어려워지게 되었고 이 문제를 해결하기 위해 콘텐츠 공급자는 소비자의 취향에 맞는 프로그램을 추천해줄 방법이 필요하게 되었다. 시청자의 시청 패턴을 분석하여 사용자의 취향을 분석하여 적합한 프로그램을 추천해줄 수 있는 방법이 필요하다. 이러한 문제를 해결하기 위하여 시청자의 시청 패턴을 분석하여 시청자의 취향에 적합한 프로그램을 추천해줄 수 있는 방법이 필요하다. 본 연구는 개인의 시청 패턴과 히스토리를 바탕으로 OTT 프로그램의 콘텐츠를 추천하는 알고리즘을 구현하였다.

Keywords

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