• Journal of KIISE:Computing Practices and Letters
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• v.14 no.6
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• pp.614-618
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• 2008

As the multimedia data increase a lot with the rapid development of the Internet, an efficient retrieval technique focusing on individual users is required based on the analyses of such data. However, user modeling services provided by recent web sites have the limitation of text-based page configurations and recommendation retrieval. In this paper, we construct the user preference model with a Bayesian network to apply the user modeling to video retrieval, and suggest a method which utilizes probability reasoning. To do this, context information is defined in a real office environment and the video scripts acquired from established cameras and annotated the context information manually are used. Personal information of the user, obtained from user input, is adopted for the evidence value of the constructed Bayesian Network, and user preference is inferred. The probability value, which is produced from the result of Bayesian Network reasoning, is used for retrieval, making the system return the retrieval result suitable for each user's preference. The usability test indicates that the satisfaction level of the selected results based on the proposed model is higher than general retrieval method.

• Fashion & Textile Research Journal
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• v.8 no.5
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• pp.496-504
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• 2006

This study was conducted for silver generation women, age 60 and more. Questionnaire was answered by the total 291 of women. Frequency analysis, t-test, ANOVA and Duncon-Test have been completed by using SPSS 12.0 tool. The conclusion of the study is below. First, silver generation women live in Seoul and South Gyeongsang Province. The data shows huge academic background gab among regions. Second, the following is the preferences found by 15 stimulants which expert groups identified based on demography. People in South Gyeongsang Province like default, tailored, three-button jacket more. People in South Gyeongsang Province prefer to Chanel jackets and people in their 70s prefer to it than in 60s, stand collar casual jacket for color and material, and the less they are educated, the more they like the jackets. And those who have less personal expenses tend to prefer to it. South Gyeongsang Province shows preference for semi polo-neck sweater. Highly educated did not show any preference for it. Women in their 70s tend to like blouses with round neckline. The data shows there is significant difference of preference for design, color and material for coloration vest between education levels. The less educated tends to like it. People in South Gyeongsang Province and those who live with their children are in favor with half sleeve jackets for colors and materials. All in Seoul and South Gyeongsang Province do not like three-quarter-length sleeve jackets because those jacket have wide and deep plunging neckline. The study showed people living in Seoul, in their 60s, highly-educated tend to favor polo shirts significantly. Seoul favor basic straight pants and people with any level of education excluding elementary prefer to it. The highly-educated and those who have a bigger allowance tend not to prefer to baggy trousers. In conclusion, Fifteen incentives (clothing design) for semi polo-neck sweaters, polo t-shirts, basic straight pants are more proper to silver generation women in their 60s, living in Seoul. Other designs are desirably applicable to customers on a national scale at middle prices.

• Korean journal of food and cookery science
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• v.26 no.4
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• pp.390-397
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• 2010

Survey data from 654 adults (225 males, 429 females) were analyzed based on frequency, percentage, chi-square test, one-way ANOVA; and Duncan's multiple range test. The main results were based on the preference for chungkukjang_(CKJ) products using a 5-point Likert scale. According to the survey, traditional CKJ products received the highest score_(3.64) according to personal preference among all tested products. The responses to eight questions about CKJ products were also measured using a 5-point Likert scale. The question_ as to whether or not "CKJ has anticancer function" received the highest score_(4.24) while the "CKJ is good for hangover" scored the lowest. Regarding the preference for CKJ products, "good for health" (55.3%) and "unpleasant smell" (72.9%) were the most popular answers, Regarding the intention to eat CKJ food products, CKJ tofu was most often selected. Among the 11 items, CKJ tofu, CKJ steak, CKJ hamburger, CKJ ice cream; and CKJ vegetable salad were highly preferred foods. The percentage of respondents that expected "increasing" prospects for CKJ consumption was 55.2%, most likely because 76.9% of the respondents selected "healthy food". Regarding the reasons for decreasing prospects, 68.9% of the respondents chose "peculiar smell". In the same manner, 53.4% of adults replied that future quality improvement should "improve the smell".

• Industrial Engineering and Management Systems
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• v.12 no.3
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• pp.234-243
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• 2013

In order to point out the best utility of a product (or a service), marketers need to clearly understand and measure the preference of the consumers. Among numerous marketing analysis techniques, the conjoint analysis is one of the popular tools for market research. One of the issues with this tool is the lack of feedback for the respondents. This paper proposes personal stepwise conjoint analysis based on an interactive Web-questionnaire allowing respondents to receive a diagnosis of their evaluation and giving the possibility to reconsider their evaluation. To validate our proposal, experimentation with forty-two respondents is also demonstrated. Experimental results, potential modifications and improvements are detailed in this paper.

• Journal of the Korean Home Economics Association
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• v.35 no.3
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• pp.139-150
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• 1997

The purpose of this study was (1) to explore the difference in parental satisfaction regarding personal/family, work, and psychological variables of employment characteristics, and (2) to investigate the most effecting variables on the parental satisfaction. For this study, the working mother with children aged under 10 year were surveyed. The results of this study were as follow; (1) There were significant differences in the parental satisfaction according to work time, job preference, income, the difficulty of work life. However, working mother's personal and family variable were not found as the related variable. Psychological variables were correlated with parental satisfaction. (2) Maternal role efficiency, dual role conflict, flexibility of work, marriage year, income, psychological stress, expanded family, durations of occupation, spouse support significantly predicted parental satisfaction. Psychological variables were important in parental satisfaction of working mothers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.257-258
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• 2009

This area information system is connected with Yahoo and Daum. consequently, When the user searches the specific area, the system will be able to provide information which is various and the newest. Also all provides information which is necessary to one window, the user gets the information which is necessary easily. In addition, Because being will be able to provide the search result which reflects the personal preference, the information search of oneself who is personal is possible, gets the informations which search before easily again.

• Journal of Information Science Theory and Practice
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• v.7 no.3
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• pp.31-39
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• 2019

Nowadays, recommender systems suggest lists of items to users considering not only accuracy but also diversity and novelty. However, suggesting the most diverse list of items to all users is not always acceptable, since different users prefer and/or tolerate different degree of diversity. Hence suggesting a personalized list with a diversity degree considering each user preference would improve the efficiency of recommender systems. The main contribution and novelty of this study is to tune the diversity degree of the recommendation list based on the users' variety-seeking feature, which ultimately leads to users' satisfaction. The proposed approach considers the similarity of users' desire diversity as a new parameter in addition to the usual similarity of users in the state-of-the-art collaborative filtering algorithm. Experimental results show that the proposed approach improves the personal diversity criterion comparing to the closest method in the literature, without decreasing accuracy.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.75-85
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• 2017

Personalization recommendations have already proven in many areas of the e-commerce industry. For personalization recommendations, additional work such as reclassifying items is generally necessary, which requires personal information. In this study, we propose a recommendation technique that neither exploit personal information nor reclassify items. We focus on music recommendation and performed experiments with actual music listening data. Experimental analysis shows that the proposed method may result in meaningful recommendations albeit it exploits less amount of data. We analyze the appropriate number of items and present future considerations for contextual recommendation.

• Korean Journal of Child Studies
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• v.20 no.2
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• pp.243-255
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• 1999

We sampled 167 2nd, 4th, and 6th grade students to assess who, why, and in what situations they asked for help when they had problems in math class. Results indicated that students generally perferred(??) classmates to the teacher as helpers but they saw the teacher as more likely to facilitate learning. Second graders perceived a closer personal relationship with their teacher than sixth graders. At the upper grades, student were more likely to report asking for assistance if they thought that other students also needed assistance.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.106-108
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• 2003

최근 들어 인터넷의 급속한 발전으로 사용자가 처리해야할 점보의 양이 급속히 늘어나게 됨으로써 사람이 혼자만의 힘으로 이 많은 정보를 처리하는 것이 하나의 고단한 작업이 되었고, 이 작업을 돕기 위한 소프트웨어 에이전트(software agent) 의 필요성이 대두되었다. 본 논문에서는 구현한 소프트웨어 에이전트가 사용자의 업무보조 (personal assistant) 라는 자신의 임무를 수행하기 위하여 온톨로지(ontology)를 기반으로 사용자의 선호도(preference) 와 의사결정 패턴을 학습하여 사용자 프로파일(user Profile) 을 작성한다. 학습한 프로파일을 바탕으로 사용자의 선호도와 일치하는 제품을 추천하는 지능형 에이전트를 제안하고. 실질적인 실험을 통해 학습된 사용자의 성향을 분석한다.