본문 바로가기
  • Home

An Analysis of Related Movie Information Using The Co-Word Method

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2014, 31(4), pp.161~178
  • DOI : 10.3743/KOSIM.2014.31.4.161
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 20, 2014
  • Accepted : December 17, 2014
  • Published : December 30, 2014

Sanghee Choi 1

1대구가톨릭대학교

Accredited

ABSTRACT

Recently, many information services allow users to collaborate to produce and use information. Sharing information is also important for users who have similar taste or interest. As various channels are available for users to share their experiences and knowledge, users’ data have also been accumulated within the information services. This study collected movie lists made by users of IMDB service. Co-word analysis and ego-centered network analysis were adapted to discover relevant information for users who chose a specific movie. Three factors of movies including movie title, director and genre were used to present related movie information. Movie title is an effective feature to present related movies with various aspects such as theme or characters and the popularity of directors affects on identifying related directors. Genre is not useful to find related movies due to the complexity in the topic of a movie.

Citation status

* References for papers published after 2023 are currently being built.