• Title/Summary/Keyword: 다차원선호분석

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Optimal Scaling and Partial Quantification in Multidimensional Preference Analysis (다차원선호분석의 최적척도화 및 부분수량화)

  • 황선영;정수진;김영원
    • The Korean Journal of Applied Statistics
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    • v.14 no.2
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    • pp.305-320
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    • 2001
  • 다차원선호분석(mutidimensional preference analysis)은 여러 상품들에 대한 개인(또는 그룹)의 선호도를 알아보기 위한 분석방법으로 결과는 보통 2차원 그림으로 제공된다. 본 연구에서는 의미있는 두 가지 최적척도 기준을 제안하고 이와 연관된 행 및 열표시자를 유도하고 있으며, 아울러 사전지식을 반영하기 위해 부분수량화를 다차원선호분석에 도입하는 방법을 제시한다. 또한 본 연구에서 제시한 다차원분석기법들을 실제 인터넷 검색엔진에 대한 선호도 자료에 적용한다.

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Preference Analysis for the Pedestrian Space in Large-scale Residential Complex by Multi Dimensional Scaling -Focused on the Haeundae New town in Busan- (다차원 척도법을 이용한 대규모 주거단지 보행공간의 선호도 분석 -부산광역시 해운대 신시가지를 대상으로-)

  • Kim, Yu Jun;Kang, Youn Won;Kim, Jong Gu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.1
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    • pp.333-340
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    • 2014
  • We analyzed pedestrian preference and features of preferential space by MDS (Multi Dimensional Scaling). As the result, features of pedestrian space in dimension 1 could be interpreted as "Segregation of Pedestrian and Vehicle", and features of pedestrian space in dimension 2 could be read like "Natural-City". And as a result of vector analysis about preferential of pedestrian, a pedestrian mall between housing complex, pedestrian space in pocket park, pedestrian space in neighborhood park, and pedestrian space around public facilities was the best preferential space. On the other hand, pedestrians tended to dislike pedestrian space between detached.

A Study on the Image, Attributes & Preference of Spa Destination (온천관광지 이미지, 속성 및 선호도 분석)

  • Kim, Si-Joong
    • Journal of the Korean association of regional geographers
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    • v.11 no.4
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    • pp.497-510
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    • 2005
  • The purpose of this study was to examine the image similarity, preference, and the attribute recognition using multidimensional scaling. The analyses were carried out by 5 spa destinations located in Choongchung area. The results were as followings: first, considering the image similarity, the image of Suanbo & Onyang and Dogo & Asan were similar except for the Yusung. Second, considering the attribute recognition, Yusung had a stronger attribute reflecting spa tradition when compared to other competitive spa destinations. Onyang showed a strong attribute of facilities. Dogo had a stronger point about use cost. Suanbo had relatively strong attributes in terms of facilities, customer service, and accessability. However, the water quality of spa destination and activities were not reflected in attribute recognition because these two attributes was farthest from the spa destination. Third, considering the preference of selecting spa destinations, package tourists had a strong preference about Yusung, individual tourists, family, incentive tourists prefer Suanbo, followed by Dogo and Yusung. Group tourists had a strong preference about Dogo.

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Multidimensional Optimization Model of Music Recommender Systems (음악추천시스템의 다차원 최적화 모형)

  • Park, Kyong-Su;Moon, Nam-Me
    • The KIPS Transactions:PartB
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    • v.19B no.3
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    • pp.155-164
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    • 2012
  • This study aims to identify the multidimensional variables and sub-variables and study their relative weight in music recommender systems when maximizing the rating function R. To undertake the task, a optimization formula and variables for a research model were derived from the review of prior works on recommender systems, which were then used to establish the research model for an empirical test. With the research model and the actual log data of real customers obtained from an on line music provider in Korea, multiple regression analysis was conducted to induce the optimal correlation of variables in the multidimensional model. The results showed that the correlation value against the rating function R for Items was highest, followed by Social Relations, Users and Contexts. Among sub-variables, popular music from Social Relations, genre, latest music and favourite artist from Items were high in the correlation with the rating function R. Meantime, the derived multidimensional recommender systems revealed that in a comparative analysis, it outperformed two dimensions(Users, Items) and three dimensions(Users, Items and Contexts, or Users, items and Social Relations) based recommender systems in terms of adjusted $R^2$ and the correlation of all variables against the values of the rating function R.

Evaluation of Spa Destinations' Image & Preference (국내 온천관광지 이미지 및 선호도 평가)

  • Kim, Si-Joong
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.2
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    • pp.253-269
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    • 2010
  • This study analyzed image similarity, attribute recognition, and preference by multidimensional scaling. The analyses were carried out by 10 spa destinations (Deoksan, Bugok, Onyang, Yuseong, Suanbo, Bomun, Dongrae, Asan, Dogo, Haeundae) in Korea. The results were as follows: First, according to the analyses of image similarity of spa destinations, 'Haeundae, Dongrae and Bomun,' 'Dogo, Onyang, Asan,' and 'Deoksan, Suanbo, Bugok,' made similar image groups separately. However, Yuseong had different image from the other spa destinations in the above. Second, according to the analyses of attribute recognition of spa destinations, Deoksan and Bugok had more competitive ability in terms of 'the incidental facilities of spa destinations, 'Yuseong, Onyang, Asan, and Dogo' showed high competitiveness in terms of 'accessibility of spa destination' and 'tourism conditions.' Haeundae, Dongrae, and Suanbo had weak competitiveness in terms of 'the accessibility of spa destinations.' Third, according to the analyses of preference about spa destinations based on different job groups, office workers had a preference for Yuseong and Bugok, professional workers for Bomun, the people engaged in the farming, fishing, livestock raising and housewives for Haeundae and Dongrae, government officials, students, factory workers, the people living on a pension for Onyang, Deoksan and Dogo, and the self-employed for Suanbo. In conclusion, according to the analyses of spa destination preference based on different residence groups, residents of Seoul, Incheon, Gyunggi province, Gangwon province, Daejeon, Chungcheong province and Jeolla province had a preference for Yuseong, Suanbo, Onyang, Deoksan, and Asan and the residents of Daegu, Gyungsang province, Busan, Ulsan for Bugok, Bomun, and Haeundae.

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Development of Driving License Education System based on Multidimensional Preference Analysis (다차원적 선호도 분석을 기반으로 한 운전면허교육 시스템 개발)

  • Lim, Won Young;Kim, Tae Hyan;Lim, Sung Ho;Wang, Seok Won;Lee, Jun Pyo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.133-134
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    • 2020
  • 본 논문에서는 낙후된 운전면허 학원 시스템 개선을 위한 운전면허 수험생 맞춤관리 어플리케이션을 제안한다. 제안하는 어플리케이션은 수강생 맞춤 가이드, 후기 서비스, 스케줄 조정, 채점표 제공 등의 다양하고 체계적인 서비스를 도입하여 기존의 시스템을 효과적으로 개선한다. 또한 기존에 개발되어 있는 운전면허 관련 어플리케이션과 달리 오프라인에서만 가능했던 부분까지 온라인 맞춤 관리로 포함하여 개발함으로서 사용자의 만족도를 향상시키도록 한다.

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A Study on the Preference of Tourism Resource Development Based on Benefit-sought of Leisure Sport Event Participation (레저 스포츠 이벤트 참가추구목적에 따른 이용관광지 자원개발 선호도에 관한 연구)

  • Yoon, Yoo-Shik;Jang, Yang-Lae;Cho, Sang-Hee
    • Journal of the Korean association of regional geographers
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    • v.15 no.2
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    • pp.250-260
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    • 2009
  • The purpose of the research is to investigate the possibility of the tourism resources development preference of sport leisure event activity of participation as one use MDS and clustering market character. An empirical research has been undertaken the questionnaire had be distributed to the whole country inline marathon races participation and there were 330 responses. The research was conducted by using statistical packages of SPSS program. As research methods factor analysis and cluster analysis were also employed. Three distinct cluster groups were categorized by their characteristics: 'money acquirement participation', 'self realization moderators', 'self realization enthusiasts', and there was differences among segmented groups in terms of their affecting factors to the tourism resources development preference. These findings suggested that there were need to tourism resources development for different segmented groups of sports leisure event activity selection attributes and each group pursued different satisfaction.

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An Extended Content-based Procedure to Solve a New Item Problem (신상품 추천을 위한 확장된 내용기반 추천방법)

  • Jang, Moon-Kyoung;Kim, Hyea-Kyeong;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.14 no.4
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    • pp.201-216
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    • 2008
  • Nowadays various new items are available, but limitation of searching effort makes it difficult for customers to search new items which they want to purchase. Therefore new item providers and customers need recommendation systems which recommend right items for right customers. In this research, we focus on the new item recommendation issue, and suggest preference boundary- based procedures which extend traditional content-based algorithm. We introduce the concept of preference boundary in a feature space to recommend new items. To find the preference boundary of a target customer, we suggest heuristic algorithms to find the centroid and the radius of preference boundary. To evaluate the performance of suggested procedures, we have conducted several experiments using real mobile transaction data and analyzed their results. Some discussions about our experimental results are also given with a further research area.

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