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A Movie Recommendation Method based on Emotion Ontology
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 Title & Authors
A Movie Recommendation Method based on Emotion Ontology
Kim, Ok-Seob; Lee, Seok-Won;
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 Abstract
Due to the rapid advancement of the mobile technology, smart phones have been widely used in the current society. This lead to an easier way to retrieve video contents using web and mobile services. However, it is not a trivial problem to retrieve particular video contents based on users` specific preferences. The current movie recommendation system is based on the users` preference information. However, this system does not consider any emotional means or perspectives in each movie, which results in the dissatisfaction of user`s emotional requirements. In order to address users` preferences and emotional requirements, this research proposes a movie recommendation technology to represent a movie`s emotion and its associations. The proposed approach contains the development of emotion ontology by representing the relationship between the emotion and the concepts which cause emotional effects. Based on the current movie metadata ontology, this research also developed movie-emotion ontology based on the representation of the metadata related to the emotion. The proposed movie recommendation method recommends the movie by using movie-emotion ontology based on the emotion knowledge. Using this proposed approach, the user will be able to get the list of movies based on their preferences and emotional requirements.
 Keywords
Recommendation System;Ontology;Emotion;Movie;
 Language
Korean
 Cited by
1.
한글 감정단어의 의미적 관계와 범주 분석에 관한 연구,이수상;

한국도서관정보학회지, 2016. vol.47. 2, pp.51-70 crossref(new window)
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