• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.62-65
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• 2011

최근 화두가 되고 있는 스마트 폰 앱의 관심으로 스마트 TV의 앱에 대한 관심도 함께 증가하고 있다. TV시청 이용자들의 편의를 위해 증가하고 있는 수많은 채널과 콘텐츠 중, 개인 사용자의 이용 습관 및 대중의 선호 프로그램을 고려하여, 편리하게 원하는 TV프로그램에 접근하도록 해 주는 TV 앱이 있다면 이는 매우 중요한 기능으로 자리 잡을 가능성이 높을 것으로 예상된다. 이에 본 논문은 사용자의 시청 이용행태를 기반으로 주제모델링 기술의 고전적 모델인 LDA을 기반으로 협업필터링을 결합한 TV 선호 프로그램 추천 알고리듬을 제안한다. 개인의 관심 선호도는 일반적으로 특정 개수로 한정지어지는 특성을 고려하여, 개인 선호도 특성이 구별 되도록 두 가지 방법을 적용하였다. 하나는 개인 선호도 프로파일의 특정 상위 주제만을 고려하는 것이고, 또 다른 하나는 개인별 주제에 대한 선호도의 다양성이 드러나도록 비대칭 하이퍼-파라미터를 갖는 LDA를 사용 하였다. 실험 결과, 두 가지 방식에 대해 사용자의 실제 TV시청 이용내역 데이터를 기반으로 추천 성능의 향상을 평균 Precision 값을 측정하여 확인하였다. 또한, 본 논문에서는 주제 모델링을 통해 학습된 각 주제의 상위 확률의 TV 프로그램들을 분석한 결과, 하나의 주제가 개인별 시청의 특성 보다는 가족단위의 시청 특성을 드러냄을 확인할 수 있었다.

• Journal of Science Education
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• v.47 no.2
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• pp.180-191
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• 2023

The purpose of this study was to investigate the preferred SSI topics of students and teachers in elementary, middle, and high schools. It analyzed the similarity of students' and teachers' preferred SSI topics by school level using the cosine similarity measure. A total of 566 students and 327 teachers from elementary, middle, and high schools participated in the study. Sixty topics were identified and listed in the areas of environment, science and technology, health and medicine, and other social issues based on the literature and SSI programs. Students and teachers were asked to select five of their favorite topics. The data was collected online using SurveyMonkey. The collected data was divided into six groups of students and teachers, and the frequency of topic selection was analyzed within each group. The topic preference similarity was analyzed by calculating vector values based on the frequency of the selected topics and measuring the cosine similarity between students, teachers, and teachers and students by school level. The results are as follows: First, the cosine similarity of SSI Preferred Topics between students' school-level cohorts was higher between middle and high school students (0.982) than between elementary and middle school students (0.651) or between elementary and high school students (0.662). Second, the cosine similarity of SSI Preferred Topics between teachers' school-level cohorts was similar for all comparison groups between elementary, middle, and high school. Third, the SSI topic preference similarity between students and teachers by school level had a higher cosine similarity between the elementary student and teacher cohorts (0.974) than the other school level comparisons, middle school (0.621) or high school (0.645). Access to topics of interest to students in SSI education is strongly associated with motivation and persistence in learning, as well as an enjoyable learning experience and positive attitudes toward learning. Therefore, when designing SSI lessons, it is important to examine topics from the perspective of student interest, especially if the teacher has selected SSI topics that are different from students' preferences. Careful instructional design will be needed to overcome the gap.

• The Journal of Korean Association of Computer Education
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• v.20 no.1
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• pp.39-47
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• 2017

The purpose of this study is to analyze research trends and the learners' preference for subject area of SW education content. First, we analyzed trends in the subject areas of various SW education contents in recent research literature, textbooks, and textbooks. Based on this, we defined six subject areas as storytelling, game, media art, educational learning contents, simulation. Also, we analyzed the case of college students based on the reason of SW implementation theme selection, selection method, and preference theme. As a result, the students were mainly influenced by their interests and teachers in the reason of topic selection, and they showed higher preference in game and storytelling subject area. We hope that this research will be reflected in balanced SW education contents design according to learner level in the future.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.1-8
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• 2009

Learning user's preference is a key issue in intelligent system such as personalized service. The study on user preference model has adapted simple user preference model, which determines a set of preferred keywords or topic, and weights to each target. In this paper, we recommend multi-perspective user preference model that factors sentiment information in the model. Based on the topicality and sentimental information processed using natural language processing techniques, it learns a user's preference. To handle timc-variant nature of user preference, user preference is calculated by session, short-term and long term. User evaluation is used to validate the effect of user preference teaming and it shows 86.52%, 86.28%, 87.22% of accuracy for topic interest, keyword interest, and keyword favorableness.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.3
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• pp.41-69
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• 2020

The purpose of this study is to design and develop a alternative material recommendation system using automatic classification, based on user preference. Details of usage data by users from DREAM was analysed in order to develop the way of a method on selecting proper alternative material, and then the data by user preference were allocated under each category of 10 KDC categories. The keyword, selected from the title of users' usage data from a certain period of time, were divided into 10 subject categories and ranked by the order of frequency of appearance. Books including high frequency of the keyword in title can be selected as a preferred target for producing alternative materials. Lastly, a dynamic linkage for sharing usage data among National Library for the Disabled and other libraries is proposed to produce more proper alternative materials, based on user preference.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.225-238
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• 2022

The purpose of this study is to explore the performance characteristics and laws of the symbol mark design of representative regional history museums in China, as well as the preferences of Chinese audiences for the symbol marks of different types of Chinese regional history museums. First, the performance theme, performance type, and type performance tendency of symbol mark modeling of the regional history museums among the top 100 museums in China are analyzed. Second, design laws based on the interrelationship of performance theme types and design performance types are explored. Finally, the questionnaire survey is carried out to explore preference from the aspects of attention, readability, closeness, originality, aesthetics and comprehensiveness. According to the results, the theme of regional history is the most in terms of themes. As for the modeling performance types, the concrete type and the visualization of Chinese character are the most. According to the content characteristics of different performance types, the following model characteristics are formed: expressing the theme of regional history, architecture, and regional natural ecological environment through the concrete type, expressing the concept through the abstract type, and expressing the concept and implying some building features through the geometric abstract figure. The three forms of the literal type, the concrete type expressing architecture, regional history, and regional natural ecological environment theme content, and the abstract type expressing concept are combined with each other, and expressed through the visualization of character, the mixture of abstract and literal type, the mixture of concrete and abstract type, and the mixture of concrete and abstract literal type in the mixture type. According to the survey results, Chinese audiences have higher preference for the concrete type in the symbol mark performance type and the regional historical theme in the performance content.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.115-131
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• 2013

The goal of this study is to analyze use patterns of library collections using circulation statistics of academic library user's. For this purpose, the 264,804 circulation-related data of A-academic library which were occurred between March 2012 and February 2013 were collected and used. Five patterns of common user group (undergraduate, graduate students, professors, staffs, the others users) are identified for this study. Gross circulation statistics was analyzed and compared for different users groups and for different subjects. And based on these analysis results, author understood degree of collection use by subject, degree of collection use by user groups, latest materials preference in collection use by subject, latest materials preference in collection use by user groups.

• Proceedings of the Korean Society for Information Management Conference
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• 2018.08a
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• pp.61-64
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• 2018

본 연구의 목적은 대학도서관 주제전문서비스를 이용하는 이용자의 만족도와 이용자특성에 따른 영향을 알아봄으로써, 대학도서관 이용자 서비스 제공 개선 방안을 제시하고자 한다. 연구대상은 경기도에 소재한 K대학도서관 서비스를 이용하는 학부생 40명, 대학원생 40명, 교직원 20명, 총 100명을 대상자로 하였다. 연구방법은 대학도서관 주제전문서비스를 이용하는 이용자들의 인식에 관한 문항 설문지로 하였다. 이용자 특성에 따라 도출한 결과는 다음과 같다. 1. 대학도서관 주제전문서비스를 이용하는 학부생의 만족도는 낮은 것으로 나타났다. 2. 대학도서관 주제전문서비스를 이용하는 대학원생, 교직원의 만족도는 높은 것으로 나타났다. 이용자가 선호하는 서비스 방법은 도서관 홈페이지를 통해 제공받는 방식을 선호하였다. 따라서 본 연구를 종합해보면 향후에는 본 연구를 바탕으로 주제전문서비스를 처음 시행하는 대학도서관이 주제전문서비스를 시행할 때 목표달성에 기여하고, 서비스를 효과적으로 수행하기 위해 좋은 귀감이 될 것이라 판단된다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.371-373
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• 2003

웹 문서를 분류하는 목적은 특정 주제별로 중요한 문서들을 구분하려는 것과 사용자의 선호도를 바탕으로 개인화를 하려는 것으로 나누어 볼 수 있다. 특히, 웹의 효율적인 탐색을 위해 사용자가 관심 있어 할 웹 문서를 분류하는 것은 중요하다 일반적으로 하나의 웹 문서는 특징 추출방법에 의해 문서 벡터로 표시되며 사용자의 선호여부나 주제번호를 클래스로 삼는다. 사용자가 선호도를 표시한 웹 문서를 사용하여 새로운 웹 문서의 선호 여부를 예측하기 위해 자기 구성지도(SOM)를 사용하면, 시각적으로 구조를 보여주어 데이터 사이의 관계를 효과적으로 이해할 수 있다. 그러나 SOM은 노드의 개수와 구조를 자동적으로 결정하지 못하는 단점이 있기 때문에, SOM의 장점을 활용하면서 자동적으로 구조를 결정하기 위해 구조적응 자기구성지도(SASOM)를 이용한다. 보다 나은 성능과 다양한 해석을 위해, 여러 개의 SASOM을 서로 다른 특징추출 방법을 이용하여 학습시킨 후 사용자가 주관적으로 분류기의 중요도를 결정할 수 있는 퍼지적분을 사용하여 결합하였다. UCI Syskill & Webert 데이터에 대한 실험결과 기존의 DT, MLP, naive Bayes 분류기 보다 향상된 성능을 보였다.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.65-72
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• 2015

The purpose of this study is to investigate the relationships between moral sensitivity for topics related to science and preference for science, and belief about learning science. 129 middle school students were involved in this study and completed questionnaires to measure moral sensitivity for topics related to science, preference for science, and belief about learning science. Students' responses were analysed to show the distribution of variables and the correlation between variables by gender and grade. As a result, moral sensitivity was not affected by respondents' grades and genders, but was affected by different topics. Preference for science was not affected by respondents' grades and genders, while belief about learning science was not affected by respondents' genders but affected by lower grade. There were correlations between students' moral sensitivity and preference in case of female students and higher grades, as well as relationship between moral sensitivity and belief about learning science. This result infers that students who have higher moral sensitivity can prefer science and show more positive belief about learning science. Also, it can implicate that affective domain including interest or belief can play an important role in the context of science education focusing on moral aspect or ethics, and that teachers should be aware of personal differences in case of teaching moral aspect of science.