• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1241-1251
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• 2014

Based on the 4 principal research-performance criteria in 28 national universities in Korea, both cluster analysis and multidimensional scaling are performed in this paper. We can classify and/or specialize the initially unknown groups into a group of relatively homogeneous universities and then create new groupings without any preconceived notion of what clusters may arise. Furthermore, the level of similarity of individual universities can be visualized on the multidimensional space so that each university is then assigned coordinates in each of the 2 dimensions. Both types and characteristics of each university can be relatively evaluated and be practically exploited for the policy of the university authority through these results.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.587-590
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• 2020

최근, 디지털 콘텐츠 산업이 폭발적으로 성장됨에 따라 고객 유치를 위한 개인화 추천 기술들이 많은 주목을 받고 있다. 개인화 추천 방식들을 큰 갈래로 나누어 본다면 협업 필터링 기술과 내용 기반 기술로 나눌 수 있다. 협업 필터링의 경우 개인화 추천에는 적합하지만 사용자 평가 데이터의 양이 방대해야 하며 초기에 평가자가 없는 콘텐츠에 대해 추천할 수 없는 초기 평가자 문제가 존재한다. 따라서 매일 방대한 양의 콘텐츠가 편입되는 분야에서 사용하기에 큰 결점이 될 수 있다. 본 논문에서는 영화들의 정보가 담긴 데이터 셋과 사용자 평가 데이터, 그리고 사용자의 선호 기준을 의미하는 메타 가중치를 활용한 내용 기반의 맞춤형 영화 추천 시스템을 제안한다. 논문에서는 먼저, 영화를 고를 때 일반적으로 중요시 보는 속성들을 활용하여 영화의 특징 벡터를 구성하고, 이를 사용자 평가와 결합하여 개인의 선호에 대한 특징 벡터를 구성하는 방법을 제안하며, 구성된 데이터와 코사인 유사도, 메타 가중치를 활용하여 사용자 선호와 유사한 영화들을 도출하는 방법을 제안한다. 또한, 평가데이터를 활용하여 구현된 추천시스템의 검증 프로세스를 구성하고, 검증 프로세스를 활용한 손실 함수를 설계하여 적합한 메타 가중치를 학습하는 방법을 제시한다. 본 논문에서 제안하는 시스템은 다수의 속성을 조합하여 활용하므로 추천 결과가 과도하게 특수화 되지 않을 수 있으며, 메타 가중치라는 요소를 통해 더욱 개인화 된 추천을 제공할 수 있다.

• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.59-72
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• 2021

Concepts and categories offer the basis for inference pertaining to unobserved features. Prior research on category-based induction that used blank properties has suggested that similarity between categories and features explains feature inference (Rips, 1975; Osherson et al., 1990). However, it was shown by later research that prior knowledge had a large influence on category-based inference and cases were reported where similarity effects completely disappeared. Thus, this study tested category-based feature inference when features are connected in a causal chain and proposed a feature inference model that predicts participants' inference ratings. Each participant learned a category with four features connected in a causal chain and then performed feature inference tasks for an unobserved feature in various exemplars of the category. The results revealed nonindependence, that is, the features not only linked directly to the target feature but also to those screened-off by other feature nodes and affected feature inference (a violation of the causal Markov condition). Feature inference model of causal model theory (Sloman, 2005) explained nonindependence by predicting the effects of directly linked features and indirectly related features. Indirect features equally affected participants' inference regardless of causal distance, and the model predicted smaller effects regarding causally distant features.

• Management & Information Systems Review
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• v.36 no.1
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• pp.95-114
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• 2017

The purpose of this study is to search information attributes suitable for SNS and to identify the influence of individuals or groups who contribute to the creation and diffusion of information in the SNS. The researchers extracted the accuracy, two-sided information, novelty, diversity, and experiential factors that influence the acceptance and diffusion of information in the SNS, and identified the relationships among the variables, the usefulness of information and the degree of information diffusion intention. And researchers studied market maven who play the key role in creating and diffusing SNS information. A total of 600 questionnaires were collected and 549 questionnaires were used to test the research hypothesis. The results of the study are as follows. Consumers considered information, which had accuracy, two-sided, and experiential attributes, as useful. But novelty or diversity information were regarded as unuseful because of motive to avoid ambiguity. In the Market Maven Group who have the ability to acquire and edit SNS information, however, there were weak or negative causality between experience and accuracy and information usability factors. but positive causality between novelty and diversity factors of information and usability.

• Journal of The Korean Association For Science Education
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• v.37 no.3
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• pp.407-416
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• 2017

In this study, we investigated the processes of analogy change and the characteristics of discussions in collaborative activity of self-generated analogy. Twenty-four high school students in Seoul participated in this study. We implemented science instructions based on collaborative activity of self-generated analogy. We compared personal analogies, group analogies, and modified group analogies in order to analyze the processes of analogy change. We also analyzed the characteristics of group and classroom discussions in the science instructions. The analyses of the results indicated that the processes of analogy change were categorized into three patterns; adding shared attributes, recognizing unshared attributes, and revising mapping errors. They selected a group analogy from analogies of their group members by considering inclusiveness, originality, and familiarity. They perceived the activity of self-generated analogy as subjective and creative. Therefore, they felt little pressure of self-generated analogy and there were little conflicts in group discussions. On the other hand, various analogies were suggested in classroom discussions and the competitive atmosphere of classroom discussions led students to focus on unshared attributes. At the stage of modifying group analogies, they added unshared attributes as limitations of the group analogy and changed their group analogy not to have unshared attributes. There were no cases of generating a new analogy. Some suggestions to implement collaborative activity of self-generated analogy in science teaching effectively are discussed.

• Journal of Technology Innovation
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• v.23 no.1
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• pp.1-36
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• 2015

The purpose of this research is to find individual user's preference for cloud storage service such as Daum Cloud, Naver N-Drive, GoogleDrive, Dropbox, SkyDrive and iCloud. Through literature reviewed and pilot tests, 6 attributes of cloud storage service (storage capacity, perceived cost, collaboration, accessibility, social influence and perceived security) were selected and all 6 attributes had significant effects on the preference of cloud storage service by conjoint analysis. The results shows that the user's willingness to pay is estimated 10,553 won for the free storage, 4,646 won for the function for mobile accessibility, and 2,443 won for more reliable cloud computing service provider. This study has significance to apply conjoint analysis with economic, technological, and environmental factors to cloud storage service (SaaS) and shed light on policy promotion of next generation of cloud computing ecosystem by user perception with willingness to pay on the storage service.

• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.710-723
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• 2023

The purpose of this study is to investigate the effect on the revisit intention and recommendation intention on the golf course selection attribute factors of Chinese golf course users using IPA. In order to carry out this study, a survey was conducted on 388 Chinese golfers, data processing and IPA analysis were conducted, and the following conclusions were obtained. First, the importance of the selection attribute was the highest in employee etiquette, and the price of restaurants and food and beverage was the highest in satisfaction. Second, as a result of the IPA matrix analysis, there were 8 selection attributes for continuous maintenance, 14 for concentration improvement, 5 for low priority, and 3 for excessive effort avoidance. Third, cost, accessibility, course facilities, auxiliary facilities, caddy expertise, and satisfaction with user management were found to affect both revisit and recommendation intentions. Since this study was limited to Chinese golfers, there may be differences in comparing the results with previous studies conducted in other countries on golf culture. Therefore, studies considering cultural diversity should be conducted in the future.

• Journal of Service Research and Studies
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• v.3 no.2
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• pp.53-60
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• 2013

Datamining from the large data in the form of various techniques for obtaining information have been developed. In recent years one of the most sought areas of pattern recognition and machine learning method is created with most of existing learning algorithms based on categorical attributes to a rule or decision model. However, the real-world data, it may consist of numeric attributes in many cases. In addition it contains attributes with numerical values to the normal categorical attribute. In this case, therefore, it is required processes in order to use the data to learn an appropriate value for the type attribute. In this paper, the domain of the numeric attributes are divided into several segments using learning algorithm techniques of discritization. It is described Clustering with other data mining techniques. Large amount of first cluster with characteristics is similar records from the database into smaller groups that split multiple given finite patterns in the pattern space. It is close to each other of a set of patterns that together make up a bunch. Among the set without specifying a particular category in a given data by extracting a pattern. It will be described similar grouping of data clustering technique to classify the data.

• Korean journal of food and cookery science
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• v.31 no.6
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• pp.749-755
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• 2015

The objectives of this study were to evaluate the gap between perceived importance and performance of foreign Chinese students' off-campus restaurants selection attributes and to analyze the factors affecting their satisfaction with off-campus restaurants. All statistical analyses were conducted using the SPSS package program (ver. 20.0). In summary, Importance-Performance Analysis results indicated that 'price propriety', 'ventilation of dining room' and 'friendliness of employees' were key aspects that should be reinforced by off-campus restaurant managers. Additionally, exploratory factor analysis on the validity of the 23 attributes of off-campus restaurant selection resulted in the identification of 5 factors including 'food quality and price', 'physical environment and value', 'service environment', 'service quality', and 'convenience and cleanness'. According to the results of multiple regression analysis, 'service quality', 'service environment', 'food quality and price', and 'physical environment and value' had significantly positive effects on overall satisfaction. In conclusion, in order to increase customer satisfaction among Chinese students, off-campus restaurant managers should improve not only the quality of service and food, but also the physical and service environment.

• Journal of Global Scholars of Marketing Science
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• v.9
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• pp.47-75
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• 2002

The purpose of this study is to identify the effects of reference price, price rationale and price-quality inference of consumer on the evaluation of apparel quality. The experimental materials developed for this study were a set of stimulus and response sheet. The stimuli were six print ads, which was manipulated by reference price and price rationale for a jacket of national brand. This study used a 2(reference price: offer and non offer)$\times$3(price rationale: non offer, stock disposal, sales promotion) $\times$2(price-quality inference of consumer: high and low level) between-subjects experiment. Subjects were 371 female university students. The data were analyzed by factor analysis, ANOVA and t-test. The results were as follows. First, three apparel attributes were identified: sewing/fabrics and label by factor analysis. Second, the significant interaction effects of reference price, price rationale and price-quality inference of consumer were found on evaluating quality of sewing/fabrics and label of apparel. So, reference price effect differed to depending on type of price rationale and levels of price-quality inference. Third, the significant main effect of price-quality inference of consumer existed on evaluating construction quality of apparel.