• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.284-286
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• 2021

With the continuous development of the Internet and digital, platforms are emerging to store large amounts of media data and provide customized services to individuals through online. Companies that provide these services recommend movies that suit their personal tastes to promote media consumption. Each company is doing a lot of research on various algorithms to recommend media that users prefer. Movies are divided into genres such as action, melodrama, horror, and drama, and the film's audio (music, sound effect, voice) is an important production element that makes up the film. In this research, based on movie trailers, we extract audio for each genre, check the commonalities of audio for each genre, distinguish movie genres through supervised learning of artificial intelligence, and propose a utilization method for generating metadata in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.925-928
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• 2014

Currently, smart phone game's advances are going to more similar to the development of a computer games. there are many similar portions between an affinity for the genre of the game and the kind of developed game, which smart-phone technology is going to reach the computer's ability. In this paper, According to the pc online games and mobile game's graphics technology and the development of the network, there are analysis about An preference of the game by the user by the chronological situation, and about factors of results of preferred direction by the user.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.289-292
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• 2000

인터넷이 생활의 일부분이 되어감에 따라 인터넷상에서 이루어지는 전자상거래는 빠르게 발전하고 있다. 지금까지의 전자상거래는 고객이 요구하는 제품을 판매하는 단순한 형태였다. 하지만 앞으로의 전자상거래에서는 고객이 선호할 만한 제품을 예상하여 고객에게 해당 제품을 추천해 줌으로서 양질의 서비스를 제공하고 더 많은 이익을 창출 할 수 있는 전자상거래 시스템이 요구되고 있다. 본 논문에서는 전자상거래시스템에서 이용될 수 있는 추천시스템을 개발하기 위하여 추천시스템의 핵심이 되는 사용자간 유사도에 기초한 GroupLens의 협동적 필터링 알고리즘을 실제 Data Set을 통해서 실험하였다. 또한 Data Set을 분석하여 아이템을 대표할 수 있는 장르를 결정하여 전체 학습데이터로부터 대표장르에 속하는 데이터들만을 분리하여 학습데이터로 사용하는 추천시스템을 제안하였고, 실험을 통하여 제안한 추천시스템의 타당성을 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.381-383
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• 2012

협업필터링은 지금까지 많은 추천시스템 연구에서 비교대상이 되거나 더 좋은 추천시스템 방법론을 개발하기 위해서 응용되고 있다. 일반적으로 협업필터링 기법은 명시적으로 관찰된 사용자들의 행동을 기반하는 방법이다. 본 연구에서는 LDA(Latent Dirichlet Allocation)을 이용해 사용자와 추천 대상이 되는 아이템의 숨겨진 특성을 추출하고, 이를 협업필터링기법에 응용했다. 영화 추천시스템 구축을 위한 실험에서, 사용자의 선호도는 다양한 영화 장르를 선호하는 비율로 나타난다는 가정(사용자기반)과 영화 또한 장르의 비율로 표현이 된다는 가정(아이템기반)을 했다. 이러한 가정을 토대로 사용자 사이와 영화 사이 간의 유사도를 정의하고, 협업필터링에 적용했을 때, 전통적인 협업필터링 기법보다 뛰어난 결과를 얻을 수 있었다.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.5
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• pp.326-338
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• 2006

In this paper, we propose the weighted Markov model for recommending the users' prefered contents in the environment with considering the users' transition of their content consumption mind according to the kind of contents providing in time. In general, TV viewers have an intention to consume again the preferred contents consumed in recent by them. In order to take into the consideration, we modify the preference transition matrix by providing weights to the consecutively consumed contents for recommending the users' preferred contents. We applied the proposed model to the recommendation of TV viewer's genre preference. The experimental result shows that our method is more efficient than the typical methods.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.143-146
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• 2004

본 논문은 시청자 개개인의 선호도 정보(user preference)를 이용하여, 컨텐츠 제공자(content provider)로부터 개인화 된 비디오 요약을 제공받을 수 있는 맞춤형 방송 서비스를 제안한다. 제안하는 방송 서비스는 다채널의 디지털 방송 환경에서 시청자들에게는 채널선택의 편의성과, 컨텐츠 제공자들에게는 시청자들이 자신들의 컨텐츠에 대한 소비를 촉진시키는 기능을 제공한다. 따라서, 본 논문에서는 개인화 된 비디오 요약 서비스를 제공하기 위해, TV-Anytime에 기반한 사용자 선호도 정보를 이용하는 시스템 스킴(scheme)을 제안한다. 제안하는 방송 서비스의 유효성을 테스트하기 위해 영화 장르의 비디오에 대해서 이벤트(event)들을 세그먼트(segment)하고, 해당 선호도 정보에서 추론된 선호 이벤트 정보에 따라 비디오 요약(video skim)을 생성하고, 시청자 단말에 제공하는 실험을 수행한다.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.3
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• pp.45-64
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• 2017

The purpose of this study is to understand the direction of the community reading campaign in the U.S.A. known as 'One Book, One City' reflected in the books selected for this campaign for the past 20 years in terms of their classification numbers, subject headings, publication dates, and genres. Analyzed are the author and state lists of 'One Book, One City' Reading Promotions Projects available from the website of the LC (Library of Congress) Center for the Books, and bibliographic records of 735 books selected in only one 'One Book' program, accessed from LC OPAC. Major findings include continuing influences of the all-time favorite 'One Book' selections, including To Kill a Mockingbird and the extension of their span of life through The Big Read, preference for the recent publications, importance of P (Literatures and Languages) Class (530 titles, 72.1%) and PS(American Literatures) subclass (307 titles, 57.9%) in the LC Classification Scheme, distribution of books in 43 genres, including domestic fiction, historical fiction, and psychological fiction, etc., the use of 535 unique LC subject headings and much interests in "City and town life" (10 titles) and "World War, 1939-1945" (8 titles), and prominence of subject groups which begin with "African American..." and "Woman..." out of 96 groups of subject headings. It is found that the subjects and focus of the selected books expand from integration, understanding, integrity to human rights, environment, peace, etc. The limitations of this study is that the influence of the selected books and the changes in communities are not properly analyed.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.54-64
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• 2013

This study is on Hollywood's latest romantic comedy movie , attempted to identify whether nationality or gender difference of the movie audience is affecting on their acceptance to the genre characteristics of Hollywood's romantic comedy. Most of Hollywood's romantic comedy movies are centered on attraction of female and male actors and its' formulated plot (boy-meets-girl, boy-loses-girl, boy-gets-girl structure). Although the movie is following the formulated romantic comedy plot, it shows a variation from the typical romantic comedy genre. In this thesis, based on audience research data, statistics and interrelationship analysis on audience value orientation, we elucidate how Korean and American, Female and Male movie audience have different preference to actors and characters in the movie and representation of archetypal Hollywood romantic comedy happy ending such as propose and wedding scenes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.3
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• pp.305-310
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• 2019

Survival horror games aim to seek cathartic psychological escapism from the framed fear or hostile environment. However, if the goal of the game playing is only "survival" against hostile environment, the motivation of such environment adaptive games may not be based on the framed fear. We may call such games as "environment adaptive survival games". In this paper, we analyze the contents of six such survival games that have large user groups in Steam platform based on the pilot survey. We extract 13 almost common fun elements that induce the fun of such games. An online user survey was conducted through multiple survival game cafe to investigate who play such games. There was no gender differences in playing time but females prefer constructing tools as a fun element and play puzzle and simulation games more than males. We found that survival games could be welcomed by female users under 30 years old if 'horror' element was minimized.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.311-314
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• 2016

본 논문에서는 특정한 모바일 게임 장르인 RPG를 선호하는 유저들의 성향과 매력적인 게임 UI는 무엇인지에 관해 다양한 방법 및 분석한 결과를 제시한다. 모바일 RPG게임에 진입함에 있어 사용자들이 거치는 프로세스를 알아보고, 매력적인 게임 UI는 어떻게 정의하는 가에 대한 것도 제시한다. 게임 UI의 외형이나 기능 등의 요소가 게임을 선택하는 데에 있어 어떠한 영향을 끼치는가에 대해서 알 수 있다. UI와 플레이의 연관성을 분석을 통해 요인을 알아보고, UI가 게임을 진입하는데 있어 사용자에게는 어떤 의미를 가지는가에 대한 것을 알 수 있다.