• Title/Summary/Keyword: service recommendation

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Design and Implement of Canonical XML Algorithm for Digital Signature System (전자서명 시스템을 위한 XML 정규화 알고리즘 설계 및 구현)

  • 유윤식;이강찬;전종홍;이원석;정회경
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.504-507
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    • 2003
  • These days, XML is accepted and used to e-commerce market broadly. But by reason of XML document has autonomy of expression that can exist same form logically but several other forms physically, several problems ran happen in application that judge effectiveness as physical form such as XML digital signature. Therefore, it is recommending to propose and use Canonical XML algorithm to change identical XML document physically equally logically in W3C to solve this problems. We implemented system that run Canonical XML algorithm that suggested in W3C that can change to more elaborate regular document. Thus, interpretable with other application that takes W3C recommendation. Also, as well as use in digital signature system for web service is useful, use in several system that physical identify is required when it exchanges XML document for web service interoperability are considered to be valuable. Moreover, Adding the transformation ability between universal encoding scheme and EUC-KR that is internal encoding scheme should be Canonical XML Algorithm that is suited to internal circumstances, and this should be a foundation technique of international interoperability confirmedness.

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A Study on the Developing of Big Data Services in Public Library (도서관 빅데이터 서비스 모형 개발에 관한 연구: 공공도서관을 중심으로)

  • Pyo, Soon Hee;Kim, Yun Hyung;Kim, Hye Sun;Kim, Wan Jong
    • Journal of the Korean Society for information Management
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    • v.32 no.2
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    • pp.63-86
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    • 2015
  • Big data refers to dataset whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. And now it is considered to create the new opportunity in every industry. The purpose of this study is to develop of big data services in public library for improved library services. To this end, analysed the type of library big data and needs of stockholders through the various methods such as deep interview, focus group interview, questionnaire. At first step, we defined the 16 big data service models from interview with librarians, and LIS professions. Second step, it was considered necessity, timeliness, possibility of development. We developed the final two services called on 'Decision Support Services for Public Librarians' and 'Book Recommendation Services for Users.'

Movie Popularity Classification Based on Support Vector Machine Combined with Social Network Analysis

  • Dorjmaa, Tserendulam;Shin, Taeksoo
    • Journal of Information Technology Services
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    • v.16 no.3
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    • pp.167-183
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    • 2017
  • The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

Open-source robot platform providing offline personalized advertisements (오프라인 맞춤형 광고 제공을 위한 오픈소스 로봇 플랫폼)

  • Kim, Young-Gi;Ryu, Geon-Hee;Hwang, Eui-Song;Lee, Byeong-Ho;Yoo, Jeong-Ki
    • Journal of Convergence for Information Technology
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    • v.10 no.4
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    • pp.1-10
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    • 2020
  • The performance of the personalized product recommendation system for offline shopping malls is poor compared with the one using online environment information since it is difficult to obtain visitors' characteristic information. In this paper, a mobile robot platform is suggested capable of recommending personalized advertisement using customers' sex and age information provided by Face API of MS Azure Cloud service. The performance of the developed robot is verified through locomotion experiments, and the performance of API used for our robot is tested using sampled images from open Asian FAce Dataset (AFAD). The developed robot could be effective in marketing by providing personalized advertisements at offline shopping malls.

Assessment of Appropriateness of Criteria for Insurance Coverage on Systemic Therapy used in Renal Cell Carcinoma (신세포암에 사용되는 전신 항암요법의 요양급여기준에 관한 고찰)

  • Kim, Jeong-Yeon;Park, Eun-Ji;Bae, Min-Kyung;Yoon, Jeong-Hyun
    • Korean Journal of Clinical Pharmacy
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    • v.21 no.4
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    • pp.319-331
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    • 2011
  • Purpose: The purpose of this study is to evaluate current criteria for insurance coverage by Health Insurance Review & Assessment Service (HIRA) on the systemic therapy used in the treatment of advanced or metastatic renal cell carcinoma (RCC), by reviewing all available clinical evidences including a variety of clinical practice guidelines. Methods: We searched clinical databases and collected data from published phase 1 through 3 randomized clinical trials on all systemic therapies used in RCC, including novel targeted therapies. Additionally, current clinical practice guidelines on the management of kidney cancer or RCC were reviewed. Based on the collected data we evaluated the appropriateness of the HIRA criteria for insurance coverage on the systemic therapy of RCC whether they are evidence-based and up to date. Results: On the basis of the collected data we concluded that there was a need for a revision in HIRA criteria for systemic therapy of RCC. Despite recent emerging therapeutic advances and changes in therapeutic strategies of management of RCC, some of anticancer regimens were inappropriately listed even though they were not proven to provide efficacy or safety superior to those of other therapies. We thus proposed an updated recommendation based on current clinical evidences. Conclusion: Systemic therapy of RCC is being rapidly changed with the advancement of understanding of the molecular biology of cancer. Consequently newly developed targeted therapies are becoming the standard therapy in the management of medically or surgically unresectable advanced or metastatic RCC. To provide effective and safe therapy to patients with RCC, the criteria for insurance coverage should be made carefully taking into consideration of most up-to-date and high-quality clinical evidences, and should be continuously reviewed so as to reflect evidence-based clinical practice.

Study of Personal Emergency Response System among Community Residing Elderly (119무선페이징의 이용실태에 관한 연구 - 일 지역을 중심으로 -)

  • Kwon, Hay-Rran;Jung, Ji-Yun;Choi, Gil-Soon
    • The Korean Journal of Emergency Medical Services
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    • v.11 no.2
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    • pp.87-101
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    • 2007
  • Health and disease related characteristics of 226 selected by systematic sampling from 452 personal emergency response system(PERS) beneficiaries and actual conditions of using PERS by them are as follows. Over 86% of PERS beneficiaries have not good health conditions and 70.7% of them have chronic diseases. On social supports family was highest as 52.2% and cases having social workers' assistance were 15.2%, but 53 as 23.7% had not visit or call from anyone and showed very low social supports. 86.2% was given PERS within 3years and 79.1% had it by the recommendation from related agencies and 4.0% was by their demand. On wearing it, 78.3% didn't bring it with them and 92% of them answered they were not sick and then it was found that they didn't use it because they had not special emergency. On satisfaction with paging system's operation, 81.3% answered they were satisfied with it, 48.8% used it for 'acute and emergency diseases' and 29.3% called ambulance for 'appointed medical treatment'. Time required for ambulance to arrive at the field was within 10 min. in 87.8% and after 10 min. in 12.2% and emergency service for beneficiaries by fire service was very good. On satisfaction with use of PERS, 85.4% were satisfied with it, 81.9% who requested repair or replacement of radio paging got it back after one or two days of their request and they answered they were satisfied with A/S. 45.5% answered they powered off it because 'they didn't use it' and 12.1% had 'economical reason of phone charge'.

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A Study on the Effects of KORAIL's CSR on Customers' Reliability and Loyalty (철도공사의 사회적 책임이 고객신뢰와 충성도에 미치는 영향에 관한 연구)

  • Yang, Jae-Hoon
    • Journal of the Korean Society for Railway
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    • v.17 no.6
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    • pp.423-432
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    • 2014
  • The purchasing behavior of consumers is related to service quality and corporate social responsibility (CSR). Therefore, CSR is recognized as an important factor in company strategies. This study determines the relationship between the CSR activities of KORAIL and the reuse intention and recommendation intention of the consumer. CSR is composed of economic, legal, philanthropic, ethical, and environmental responsibilities. In the results of the structural equation modeling analyses, legal responsibility and economic reliability affect the reliability of KORAIL and this reliability affects the customers' reliability and loyalty. This paper proposes a compliance program, wagon safety information, customized tour packages, and communication strategy that will increase customer's reliability and loyalty.

An Implementation of the Canonical XML Algorithm (XML 정규화 알고리즘 구현)

  • 박기식;조인준;정회경
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1698-1707
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    • 2003
  • These days, XML is accepted and used to e commerce market broadly. But by reason of XML document can exist same form logically but several other forms physically, several problems can happen in application that judge effectiveness as physical form such as XML digital signature. Therefore, it is recommending to propose and use canonical XML algorithm to change identical XML document physically equally logically in W3C to solve this problems. We implemented system that nm Canonical XML algorithm that suggested in W3C that can change to mon elaborate regular document. Thus, interoperable with other application that takes W3C recommendation Also, as well as use in digital signature system for web service is useful, use in several system that physical identify is required when it exchanges na document for web service interoperability are considered to be valuable. Moreover, Adding the transformation ability between universal encoding scheme and EUC­KR that is internal encoding scheme should be Canonical XML Algorithm that is suited to internal circumstances, and this should be a foundation technique of international interoperability confirmedness.

Big data-based information recommendation system (빅데이터 기반 정보 추천 시스템)

  • Lee, Jong-Chan;Lee, Moon-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.3
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    • pp.443-450
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    • 2018
  • Due to the improvement of quality of life, health care is a main concern of modern people, and the demand for healthcare system is increasing naturally. However, it is difficult to provide customized wellness information suitable for a specific user because there are various medical information on the Internet and it is difficult to estimate the reliability of the information. In this study, we propose a user - centered service that can provide customized service suitable for users rather than simple search function by classifying big data as text mining and providing personalized medical information. We built a big data system and measured the data processing time while increasing the Hadoop slave node for efficient big data analysis. It is confirmed that it is efficient to build big data system than existing system.

Health promotion services of health care center at some universities in California, the U.S. (미국 대학보건실의 건강증진 서비스 제공체계 - 캘리포니아 주에 소재한 일부 대학의 운영사례를 중심으로 -)

  • Kim, Young-Bok;Park, Chun-Man
    • The Journal of Korean Society for School & Community Health Education
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    • v.12 no.2
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    • pp.113-127
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    • 2011
  • Background: University health services have provided comprehensive medical care, counseling, health promotion, and public health services to their students and several other local institutions. To their faculty and staff, university health care centers have served occupational health services and employee assistant program. Purpose: We performed this study to review the health promotion services on two kinds of health care center with different style of university formate. Methods: We tried to collect the data by literature review and interview with executive and provider at health care center in University of California at Berkeley and San Jose State University. Results: Our results were as followed. First, students could use the medical services just as they would their regular doctor's office and urgent care center. Second, the health promotion unit offered programs and services for keeping students healthy and safe, including many opportunities for students to get involved in shaping the public health of the campus. Third, the health promotion recommendation offered from ACHA was useful guideline to improve health status of their member in university campus. Finally, the student satisfaction surveys were used for evaluation and quality improvement. Conclusions: The systematic approach to improve health status of students, faculty and staff can use to maintain a state of optimum health among the diverse student community in support of academic excellence. Coupled with health promotion and public health programs, university health service have to reach all segments of the healthy campus community. To achieve study goals in university, the health care center contributes to promote accountability and responsibility for the health and well being of the members in their campus.

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