• Title/Summary/Keyword: 음악 선호도

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Bayesian network based Music Recommendation System considering Multi-Criteria Decision Making (다기준 의사결정 방법을 고려한 베이지안 네트워크 기반 음악 추천 시스템)

  • Kim, Nam-Kuk;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.345-352
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    • 2013
  • The demand and production for mobile music increases as the number of smart phone users increase. Thus, the standard of selection of a user's preferred music has gotten more diverse and complicated as the range of popular music has gotten wider. Research to find intelligent techniques to ingeniously recommend music on user preferences under mobile environment is actively being conducted. However, existing music recommendation systems do not consider and reflect users' preferences due to recommendations simply employing users' listening log. This paper suggests a personalized music-recommending system that well reflects users' preferences. Using AHP, it is possible to identify the musical preferences of every user. The user feedback based on the Bayesian network was applied to reflect continuous user's preference. The experiment was carried out among 12 participants (four groups with three persons for each group), resulting in a 87.5% satisfaction level.

A study on the behavior of adolescence's music listening (청소년의 음악 감상 행동에 관한 연구)

  • Seo, Seung Mi
    • Journal of Music and Human Behavior
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    • v.2 no.2
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    • pp.1-14
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    • 2005
  • This research was to study the behavior of listening music, music preference, meaning and role of music. The interviewees were 158 male/female students of high school in second level. This research had a interview which is composed with 7 multiple choice-questions and 1 short answer-question. In result, in the question of 'The average time of listening music', the most students(64, 41.8%) answered '1~2hours', the secondary, '2~3hours' which was 32.(20.9%) In the next question, 'The preference of music genre', 87students(56.8%) answered 'Korean pop and rock', 'American pop' was 11.1% each. Regarding 'The favorite mood of music', 50.3% of students answered 'Mellow songs, 24.8% of students answered 'Jaunty songs'. Regarding 'The social factor of listening music', more than half students(56.7%) agreed that friends or something like that may affect their music preference. Likewise, 51.6% agreed that their temper or character may affect their music preference. They answered that they enjoy the music usually when they take a rest(30.1%), when in moving(24.3%). Lastly, it said 'The meaning of music' is mostly 'Getting rid of stress and Refresh'(25.1%). And 'Calmness', 'Comfort' was 21.8%. The music especially to students means 'Emotional exit'. The music which can enable them to express their feelings is related with feeling and emotion deeply. And emotional factors like stress, depression, anxiety becomes the main reason of accepting the music meaningfully. In conclusion, This research says that they experience positive feelings and express emotions through music which enables them to understand fully their feelings and emotions.

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Research related to music preference and application of brain-wave (음악의 선호 분류와 뇌파의 활용에 관한 연구)

  • Jang, Dalwon;Shin, Saim;Lee, JongSeol;Jang, Sei-jin;LIm, Tae-Beom
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.155-156
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    • 2013
  • 최근 뇌파에 관련된 연구가 IT 분야와 결합하여 많이 진행되고 있다. 우리의 연구에서는 음악의 선호/비선호를 구분 문제를 뇌파를 이용해서 접근하려 한다. 이를 위해서 데이터를 모으고 분석하는 과저에서 나온 실험결과를 이 논문에서 발표한다. 최대한 편안한 상태에서 음악을 들으면서 뇌파를 취득하였을 때, 선호하는 음악과 비선호하는 음악을 구분해서 들었을 때의 뇌파취득 결과와, 그렇지 않았을 때의 뇌파 취득 결과를 간단한 분류방법을 통해서 비교한다.

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Mirrors that Illuminate Culture: Koreans' Cultural Orientation Reflected in Pop Music Preferences (문화를 비추는 거울: 대중음악 선호에 반영된 한국인의 문화성향을 중심으로)

  • Lee, Inyeong;Park, Hyekyung
    • Korean Journal of Culture and Social Issue
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    • v.26 no.3
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    • pp.221-257
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    • 2020
  • This study examined whether popular music lyrics, the new research topic, reflect changes in Koreans' cultural orientation and whether individuals' cultural orientation is related to the genre of popular music that they prefer. In Study 1, we content analyzed popular music lyrics from 1980 to 2018 to see if Koreans' cultural orientations changed over time. The analysis showed that as the release dates approached the 2010s, the lyrics expressed the ideal attitudes of individualist cultures more frequently than those of collectivist cultures; this suggests that Koreans have gradually become more individualistic over time. In Study 2, we examined the relationships between individuals' cultural orientations, preferences for various genres of popular music, and functions of music. The analysis showed that people with more collectivistic attitudes tended to prefer mid- and low-arousal music, such as Ballads and Rap/Hiphop, while those with less collectivistic attitudes preferred high-arousal music, such as Rock/Metal. This result is partly consistent with the hypothesis that collectivistic people would prefer lower to higher arousal music. In addition, our analysis showed the strongest positive relationship between collectivism and the social function of music; this result can be interpreted as indicating that collectivistic people use music to maintain good interpersonal relationships. This paper concludes by discussing the implications of these findings, the limitations of this study, and directions for further research.

The Adaptable Music Genre Recommendation System to The Individual Taste (개인 취향에 맞는 음악 장르 추천 시스템)

  • 강성춘;이고은;박정근;손영선
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09b
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    • pp.114-117
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    • 2003
  • 본 논문에서는 사용자가 음악을 직접 선곡하지 않고 락, 트로트, 댄스, 힙합, 발라드 등 5가지의 장르 중 사용자가 선호하는 음악의 장르를 추천하는 시스템을 구현하였다. 실시간으로 연주되는 음악에서 Bass Drum 신호를 추출ㆍ분석하여, 기본적으로 한 마디에 소요되는 시간, 주법, 진폭 등 세가지 파라메터를 이용하여 5가지 장르로 분류하였다 선택 곡 수와 들은 시간으로 퍼지 추론을 통해 각 장르에 대한 사용자 만족도를 평가한다. 평가된 만족도에 의해 사용자가 선호하는 장르의 음악을 제공하는 시스템을 제안한다.

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Harmonic Preference of Primary and Secondary School Students Depending on Age and Musical Training (연령과 음악적 배경에 따른 아동 및 청소년의 화음 선호도)

  • Kim, Hye-Kyung
    • Journal of Music and Human Behavior
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    • v.12 no.1
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    • pp.23-42
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    • 2015
  • This study investigated the harmonic preference of children and adolescents depending on age and musical training. A total of 684 primary and secondary school students participated in this study. For this study, a four-measure melody was composed and constructed in four levels of harmonic complexity, determined by the rate of nonharmonic notes used and immediacy of harmonic resolution. Participants rated the degree of their perceived complexity and their preferences after listening to each musical stimulus. Ratings from the participants were analyzed in terms of the effect of age and the length of musical training. The results showed that younger students demonstrated little to no change in their preference regardless of the complexity level. Middle and high school students showed significantly decreased preference with increased harmonic complexity. High school students with more musical instrument training perceived changes in harmonic complexity more sensitively and showd higher level of optimal complexity. Younger students was affected by musical training relatively less than older students. This study presents the baseline data to be considered when determining the appropriate level of harmonic complexity for music appreciation of young population.

A Music Recommendation System by Using Graph-based Collaborative Filtering (그래프 기반 협동적 여과를 이용한 음악 추천 시스템)

  • Kim, Hyung-Il;Lee, Jin-Seok;Lee, Jeong-Hyun;Cho, Chin-Kwna;Kim, Kyoung-Sup;Kim, Jun-Tae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.11a
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    • pp.51-54
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    • 2006
  • 본 논문에서는 각 사용자들의 취향에 맞는 음악을 추천하는 개인화된 음악 추천 시스템을 소개한다. 추천 시스템이란 사용자의 선호도를 분석하고 아이템들에 대한 사용자의 선호도를 예측하여 영화, 음악, 기사, 책, 웹 페이지 등과 같은 아이템들을 추천하는 시스템을 말한다. 추천 시스템들에서 가장 많이 사용하고 있는 협동적 추천 방식은 선호도 데이터를 기반으로 유사한 사용자들을 찾고, 유사 사용자들의 선호도를 기반으로 예측을 수행하는 것으로서, 여러 장점들이 있으나 희소성(sparsity) 문제와 확장성(scalability) 문제에 대해 취약점을 가지고 있다. 아이템들의 전체 수에 비해 매우 적은 수의 아이템 선호도 데이터만 존재한다면 사용자들의 유사도를 계산하기가 어려우며, 또한 사용자의 수가 늘어날수록 유사도 계산에 걸리는 시간이 급격하게 늘어남으로써 수백만 사용자가 있는 웹 사이트 등에서 실시간 추천을 수행하기 어렵다. 본 논문에서 소개하는 음악 추천 시스템은 이러한 문제점들을 해결하기 위해 그래프 기반 협동적 여과 기법을 사용한다. 그래프 기반 협동적 여과 기법은 기존의 협동적 여과 기법들과 달리 아이템들 사이의 연관관계를 그래프 모델로 표현하고 저장함으로써 묵시적인 선호도 정보들을 누적하여 희소성 문제를 해결하고, 추천 아이템을 선정하는데 필요한 계산 시간을 크게 단축하여 대규모 데이터에서 실시간 추천을 가능하게 한다는 장점이 있다.

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A Music Recommendation System using Collaborative Filtering (협업필터링을 이용한 음악 추천 시스템)

  • Park, Ju-Hyun;Park, Doo-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1163-1165
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    • 2015
  • 최근 들어, 사용자의 선호도를 고려한 음악추천 시스템의 연구가 활발히 진행되고 있다. 대부분의 음악 추천 시스템은 사용자가 들었던 곡을 분석하여 유사한 노래를 추천하는 시스템을 사용하여 비슷한 성향에서 벗어나지 못한 추천으로 다양한 사용자의 선호도를 만족시키는데 한계가 있었다. 본 논문에서는 개인 정보인 성별, 나이, 지역, 계절, 장르에 가중치를 활용하여 각각의 개인에 가장 알맞은 음악 추천 시스템을 설계하고 구현한다.

The Effect of Preferred Music Listening on Police Officers' Occupational Stress and Fatigue (선호음악 감상이 경찰공무원의 직무스트레스와 피로 감소에 미치는 영향)

  • Kim, Hye Jin;Kim, Eun Jew
    • Journal of Music and Human Behavior
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    • v.14 no.1
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    • pp.41-62
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    • 2017
  • The purpose of this study was to examine the effect that preferred music listening had on police officers' occupational stress and fatigue. The musical intervention took place over a total of six sessions from October 11 to October 19, 2016. At each session, the experimental group (n = 19) received 20 minutes of music listening with individually customized playlists that were compiled based on their preferred music list. The control group (n = 21) simply took a break from work for 20 minutes. Every participant checked his or her occupational stress and fatigue level before and after the experiment using the Occupational Stress Inventory and Subjective Symptoms of Fatigue Test. The data were then analyzed by the SPSS 22.0 statistics program. To examine the homogeneity and pretest-posttest results between groups, an independent t test was conducted, and a paired t test was used to examine the pretest-posttest results within groups. The results confirmed all hypotheses. Findings support that the use of preferred music listening is an effective way to help police officers to control their occupational stress and fatigue. This study used a convenience sample and has limited generalizability. Future research should explore interactive approaches in music therapy as well as receptive music listening for alleviating police officers' occupational stress and fatigue.

Mobile Music Album Information Retrieval System using Barcode (바코드를 이용한 모바일 음악앨범 정보 검색 시스템)

  • Lee, Kyoung-Mi
    • The Journal of the Korea Contents Association
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    • v.10 no.8
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    • pp.130-137
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    • 2010
  • An advancement and wide use of portable multimedia devices make it easy to spread digital sound source, enabling users to use portable multimedia devices and search and enjoy digital sound sources and related contents. In opposition the off-line musical service market with CD stagnates gradually and in the crisis where the off-line musical service market vanishes away. In this paper, we propose the mobile music album information retrieval system which combines the barcode and a cellular phone musical service. To get digital sound sources and related information from music albums, the proposed retrieval system uses one-dimensional barcodes attached to music albums and obtains information on related albums from the sound source servers. Also, to reflect user preferences in search results, the system uses search frequency by music album, and searches albums in music genres selected by users in the order of the recent preference. The proposed mobile music album retrieval system is implemented on the basis of WIPI, and is now providing pilot services.