- P-ISSN1013-0799
- E-ISSN2586-2073
- KCI
An Analysis of Related Movie Information Using The Co-Word Method
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.
- keywords
- 동시출현단어, 용어계량분석, 네트워크분석, 이용자추천정보, 자아중심 네트워크, informetric analysis, co-word analysis, network analysis, user recommendation, ego-centered network
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