감정 온톨로지 기반의 영화 추천 기법 = A Movie Recommendation Method based on Emotion Ontology

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 최낙환, "영화의 태도에 영향을 미치는 동감과 감정이입의 드라마적 요인에 관한 연구" 한국소비자학회 20 (20): 243-271, 2009

2 이은정, "모바일 어플리케이션의 감정 적응형 사용자인터페이스 저작 프레임워크" 한국멀티미디어학회 18 (18): 376-386, 2015

3 "WordNet Search 3.1"

4 "Watcha"

5 S. K. Westerwick, "Tragedy Viewers Count Their Blessings: Feeling Low on Fiction Leads to Feeling High on Life" 40 (40): 747-766, 2012

6 N. F. Noy, "Ontology Development 101 : A Guide to Creating Your First Ontology"

7 S. H. Song, "Music Ontology for Mood and Situation Reasoning to Support Music Retrieval and Recommendation" 304-309, 2009

8 A. Sutcliffe, "Emotional Requirements Engineering" 321-322, 2011

9 A. T. Ho, "E-mrs : Emotion-based Movie Recommender System" 1-8, 2006

10 B.R. Kim, "Compilation of the Korean Affective Word List" Yonsei University College of Medicine 2010

11 Scherer, "Approaches to Emotion" Psychology Press 2014

12 "Amazon.com"

13 M. N. Song, "A Proposed Movie Recommendation Method using Emotional Word Selection" 525-534, 2009

14 S. B. Cho, "A Collaborative Filtering Recommendation System using ConceptNet-based Mood Classification by Genre" 38 (38): 216-219, 2011