• Title/Summary/Keyword: Group Recommendation

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Identification of Nursing Activities for Determination of Nursing Cost (간호수가 산정을 위한 간호행위의 규명 연구)

  • 박정호;황보수자;이은숙
    • Journal of Korean Academy of Nursing
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    • v.22 no.2
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    • pp.185-206
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    • 1992
  • In this study nursing activities were examined to determine the nursing cost. A professional nursing group developed a tool for the investigation. 128 nursing activities were identified by the tool in 16 nursing care areas as referenced in the literature. Each activity was examined for four essential factors to define nursing cost ; time consumed for the care, level of professional skill, degree of independency and performer of the care. The activity was rated by a five point Likert scale. This investigation was conducted with the nursing staffing working in the 21 university hospitals in Korea and having more than four years experience especially in medical or surgical wards. The participating nursing staff were screened on the basic of the recommendation of the nursing director. The data were gathered from June 12th to August 12th, 1989. All the data were analyzed for mean, standard deviation, percent, and correlation coefficients between items. The results are summarized as follows : 1. Direct nursing care was classified into 16 large areas and 128 small activities. 2. No significant correlation was found between the study items of each activity. 3. Among 128 nursing activities, Those performed less than 50% of the time by a nurse were excluded from the nursing cost. Also excluded activities which were given less than 9 marks in all three items, time consumed, level of professional skill, and degree of independency. As a result, 83 activities in 14 nursing care areas were selected for the proposal to estimate nursing cost.

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Dietary Risk Factors for Hypertension among Korean Adult Men

  • Park, Jin-Young;Shim, Jae-Eun;Paik, Hee-Young
    • Journal of Community Nutrition
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    • v.8 no.4
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    • pp.193-199
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    • 2006
  • There have been many studies indicating increased salt intake is related to elevated blood pressure (BP). Hypertension and pre-hypertension are prevalent in Korea. A national survey showed that the Korean average daily salt consumption was 12.5g, which is more than twice the current recommendation in the UK or USA. This study was performed to understand which aspects of the Korean diet contributed to high salt intake and elevated BP in Korea. The subjects consisted of 1,110 Korean adult men aged 30 to 49 years who were selected from the data of 2001 Korean National Health and Nutrition Survey, a nationwide cross sectional survey. The relationship of BP with sodium and high sodium food intakes were analyzed. After categorizing subjects according to their BP, the socio-demographic information and food and nutrients intakes were analyzed. BP increased with a larger amounts of sodium intake and the trend was significant with diastolic BP. However, the trends of BP for sodium densities of the diet were not. People with hypertension significantly tended to be older, larger, and less educated than people with normal BP. And they consumed more foods from the fats, oils & sweets group and larger amounts of discretionary sodium than normal people. The current report advocates that public health intervention, which improves the awareness of the role of salt on elevated blood pressure for the public, should be implemented in Korea.

The Propose System of Learning Contents using the Preference of Learner (학습 선호도에 의한 학습 콘텐츠 제안 시스템)

  • Jeong, Hwa-Young;Lee, Yun-Ho;Hong, Bong-Hwa
    • The Journal of the Korea Contents Association
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    • v.10 no.1
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    • pp.477-485
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    • 2010
  • Web based learning systems are operating with various and lots of learning contents. But it is hard to construct learning contents to fit learners when they select learning contents for learning. In this paper, we proposed the recommendation method that can support the learning contents as calculate learner's preference using the learning history information of learner's profile when learner design and compose learning course. In the applying result of this method, we've selected testing learner group and was able to know it can help to learner processing learning by themselves as we've got great learning satisfaction after test.

Fragility characteristics of skewed concrete bridges accounting for ground motion directionality

  • Jeon, Jong-Su;Choi, Eunsoo;Noh, Myung-Hyun
    • Structural Engineering and Mechanics
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    • v.63 no.5
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    • pp.647-657
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    • 2017
  • To achieve this goal, two four-span concrete box-girder bridges with typical configurations of California highway bridges are selected as representative bridges: an integral abutment bridge and a seat-type abutment bridge. A detailed numerical model of the representative bridges is created in OpenSees to perform dynamic analyses. To examine the effect of earthquake incidence angle on the fragility of skewed bridges, the representative bridge models are modified with different skew angles. Dynamic analyses for all bridge models are performed for all earthquake incidence angles examined. Simulated results are used to develop demand models and component and system fragility curves for the skewed bridges. The fragility characteristics are compared with regard to earthquake incidence angle. The results suggest that the earthquake incidence angle more significantly affects the seismic demand and fragilities of the integral abutment bridge than the skewed abutment bridge. Finally, a recommendation to account for the randomness due to the ground motion directionality in the fragility assessment is made in the absence of the predetermined earthquake incidence angle.

A Collaborative Filtering using SVD on Low-Dimensional Space (SVD을 이용한 저차원 공간에서 협력적 여과)

  • Jung, Jun;Lee, Pil-Kyu
    • The KIPS Transactions:PartB
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    • v.10B no.3
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    • pp.273-280
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    • 2003
  • Recommender System can help users to find products to Purchase. A representative method for recommender systems is collaborative filtering (CF). It predict products that user may like based on a group of similar users. User information is based on user's ratings for products and similarities of users are measured by ratings. As user is increasing tremendously, the performance of the pure collaborative filtering is lowed because of high dimensionality and scarcity of data. We consider the effect of dimension deduction in collaborative filtering to cope with scarcity of data experimentally. We suggest that SVD improves the performance of collaborative filtering in comparison with pure collaborative filtering.

The Effect of the Personalized Settings for CF-Based Recommender Systems (CF 기반 추천시스템에서 개인화된 세팅의 효과)

  • Im, Il;Kim, Byung-Ho
    • Journal of Intelligence and Information Systems
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    • v.18 no.2
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    • pp.131-141
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    • 2012
  • In this paper, we propose a new method for collaborative filtering (CF)-based recommender systems. Traditional CF-based recommendation algorithms have applied constant settings such as a reference group (neighborhood) size and a significance level to all users. In this paper we develop a new method that identifies optimal personalized settings for each user and applies them to generating recommendations for individual users. Personalized parameters are identified through iterative simulations with 'training' and 'verification' datasets. The method is compared with traditional 'constant settings' methods using Netflix data. The results show that the new method outperforms traditional, ordinary CF. Implications and future research directions are also discussed.

The Effect of Recommended Product Presentation on Consumers' Usage Intentions of a Website -Focusing on the Mediating Roles of Mental Simulation- (온라인 추천 상품의 제시방법이 웹사이트 이용의도에 미치는 영향 -심적 시뮬레이션의 매개효과를 중심으로-)

  • Lee, Ha Kyung;Ahn, Sowon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.6
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    • pp.977-987
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    • 2018
  • This study tests the effect of recommended product presentation on consumers' usage intentions of a website, mediated by mental simulation. Mental simulation refers to perceptual experience, a more automatic form of mental imagery, initiated by exposure to the representations of objects. This study expects that when compliments of clothes (coordination items) are vertically presented online, consumers are likely to feel as if they wear the outfits due to the activation of mental simulation. The survey was conducted on 147 women in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using exploratory factor analysis and bootstrapping analysis by SPSS 20.0. The results show that when compliments (vs. substitutes) of clothes are presented, participants perceive a greater mental simulation. When compliments of clothes are vertically presented (vs. horizontally presented), mental simulation is also highly driven. In addition, mental simulation mediates the effects of online product presentation on consumers' usage intentions of a website. The findings of this study contribute to marketing strategies of online retailers in terms of how product recommendation can be offered to consumers with more psychological benefits.

A Empirical Study on Recommendation Schemes Based on User-based and Item-based Collaborative Filtering (사용자 기반과 아이템 기반 협업여과 추천기법에 관한 실증적 연구)

  • Ye-Na Kim;In-Bok Choi;Taekeun Park;Jae-Dong Lee
    • Annual Conference of KIPS
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    • 2008.11a
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    • pp.714-717
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    • 2008
  • 협업여과 추천기법에는 사용자 기반 협업여과와 아이템 기반 협업여과가 있으며, 절차는 유사도 측정, 이웃 선정, 예측값 생성 단계로 이루어진다. 유사도 측정 단계에는 유클리드 거리(Euclidean Distance), 코사인 유사도(Cosine Similarity), 피어슨 상관계수(Pearson Correlation Coefficient) 방법 등이 있고, 이웃 선정 단계에는 상관 한계치(Correlation-Threshold), 근접 N 이웃(Best-N-Neighbors) 방법 등이 있다. 마지막으로 예측값 생성 단계에는 단순평균(Simple Average), 가중합(Weighted Sum), 조정 가중합(Adjusted Weighted Sum) 등이 있다. 이처럼 협업여과 추천기법에는 다양한 기법들이 사용되고 있다. 따라서 본 논문에서는 사용자 기반 협업여과와 아이템 기반 협업여과 추천기법에 사용되는 유사도 측정 기법과 예측값 생성 기법의 최적화된 조합을 알아보기 위해 성능 실험 및 비교 분석을 하였다. 실험은 GroupLens의 MovieLens 데이터 셋을 활용하였고 MAE(Mean Absolute Error)값을 이용하여 추천기법을 비교 하였다. 실험을 통해 유사도 측정 기법과 예측값 생성 기법의 최적화된 조합을 찾을 수 있었고, 사용자 기반 협업여과와 아이템 기반 협업여과의 성능비교를 통해 아이템 기반 협업여과의 성능이 보다 우수했음을 확인 하였다.

Exploring Barriers Affecting e-Health Service Continuance Intention in India: From the Innovation Resistance Theory Stance

  • Arghya Ray;Pradip Kumar Bala;Yogesh K. Dwivedi
    • Asia pacific journal of information systems
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    • v.32 no.4
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    • pp.890-915
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    • 2022
  • Although existing studies on e-health have usually focused on e-health services adoption intention, there is a dearth of studies on the barriers that affect e-health services retention intention especially in India. Additionally, although studies have mostly focused on utilizing expectation-confirmation model to understand innovation related barriers, innovation resistance theory (IRT) has been overlooked. As Indian e-health service providers face stiff challenges due to customer's unwillingness to continue using the service, there is a need to bridge the research gap that exists in this context. This mixed-method study, based on responses received from 289 participants and 1154 online negative reviews from e-Health providers in India, examines the barriers from the IRT stance. Results of this study reveal a notable negative association between tradition, value and financial barrier and intention to continue using e-health services. Additionally, continuance intention affects recommendation. The study concludes with various implications and scope for future research.

A Study for Competency Enhancing of Creative Enterprise based on Textile Materials (텍스타일 기반 창조기업의 역량강화를 위한 교육평가 연구)

  • Yoon, Hae-Gyung;Choi, Seung-Bae
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.2
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    • pp.452-466
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    • 2015
  • The study analyzed the result of a survey on educational programs after the provision of professional development education in textile-based industries, with the aim of suggesting a method of evaluating professional development education, by shedding new light on the educational contents and environment required by industries and on the components required to strengthen competence based on an evaluation of the outcomes of such educational programs. Methods of analysis included frequency & average analysis, ANOVA and portfolio analysis, and a questionnaire containing seven questions on satisfaction with 'educational contents,' six questions on satisfaction with 'educational environment,' three questions on educational effect and questions on overall satisfaction with education was used as an analysis tool. Data used in the analysis was obtained through a survey of the attendants of lectures given from January 2014 to September 2014, and the respondents included 30 persons enrolled in CEO courses, 167 persons enrolled in employment courses and 101 persons enrolled in employment & start-up business courses. The results of the research are as follows. 1. Looking at frequency distribution by educational course, it was shown, from highest to lowest, to be Incumbent Courses (167 persons, 56%), Employment & Start-up Courses (101 persons, 33.9%) and CEO Courses (30 persons, 10.1%). Looking at average analysis by question, the value of most questions on Employment & Start-up Courses turned out to be lower than Employment Courses and CEO Courses. 2. Through a variance analysis on questions related to educational courses (Employment & Start-up Course, Incumbent Course & CEO Course) and post-verification, it turned out that Employment Course is in the same group as the CEO Course in most questions, and that Employment & Start-up Course was a separate group. 3. Overall satisfaction with education turned out to be as high, at 4.1 out of 5. 4. Through a portfolio analysis on educational courses, it was found that 'Overall Satisfaction with Educational Contents,' 'Usefulness of Educational Contents,' 'Overall Satisfaction with Educational Environment' and 'Quality and Ability of Instructors' were included in areas of recommendation.