• Title/Summary/Keyword: Recommended service

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Characterizing Semantic Warnings of Service Description in Call Processing Language on Internet Telephony

  • Lee, Pattara raplute;Tomokazu Taki;Masahide Nakamura;Tohru Kikuno
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.556-559
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    • 2002
  • The Call Processing Language (CPL, in short), recommended in RFC 2824 of IETF, is a service description language for the Internet Telephony. The CPL allows users to define their own services, which dramatically improves the choice and flexibility of the users. The syntax of the CPL is strictly defined by DTD (Document Type Definition). However, compliance with the DTD is not a sufficient condition for correctness of a CPL script. There are enough rooms for non-expert users to make semantical mistakes in the service logic, which could lead to serious system down. In this paper, we present six classes of semantic warnings for the CPL service description: MF, IS, CR, AS, US, OS. For each class, we give the definition and its effects with an example script. These warnings are not necessarily errors. However, these warnings will help users to find ambiguity, redundancy and inconsistency in their own service description.

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Best Practices on Educational Service Platform with AI Approach

  • Hong, Je Seong;Park, Bo Kyung;Kwak, Jeil;Kim, R. Young Chul;Son, Hyun Seung
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.40-46
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    • 2019
  • The current education is becoming more extensive with the application of various teaching methods. This is a problem that is so distributed that it is difficult for users to find the data and it takes a long time to find the information they need. Currently, various educational services, materials, and instruments are developed and scattered. Therefore, it is important to raise students' awareness of aptitude and career path with customized education tailored to students. Conventional education platforms have very difficult to choose the right materials for students because of the spread of educational programs and institution materials. To solve this, we propose a customized recommendation approach to recommend customized educational service materials and institution for students to teachers, which helps teachers conveniently choose materials suitable for their respective environments. On this new platform, the CNN algorithm provides recommended content for classes and students. For real service on the educational service platform, we implement this system for Jeil edus business. Through this mechanism, we expect to improve the quality of education by helping to select the right service.

A Study on Improvement of Health Center's Function through Cost-Effectiveness Analysis in Korea (1차 보건의료사업의 비용-효과분석을 통한 보건소 기능의 확대 방안 연구)

  • 김종인;윤치근
    • Health Policy and Management
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    • v.5 no.2
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    • pp.70-103
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    • 1995
  • The aim of this study sets out to discover a desirable form of public centers among the alternative ones and make a health center model. Especially, this study attempts; (i) to investigate factors that affect the performance of health centers; (ii) carry out cost-effectiveness analysis (CEA) for the various type of health centers; (iii) identify innovative strategies to increase the use of health center. Cost-effectiveness analysis is used to compare the performance of all the centers. The following is taken to create the index. Wi = Ti x Mi x Eij (Wi: weight for service item I, Ti : time spent for service I, Mi ; number of health personnel involved in service I, Eij : years of schooling for personnel j in providing service I). As a result of these analyses, policy options as follows are recommended; (i) proper manpower, especially public health physician (oriental medical doctor), should be enough to provide health care adequately; (ii) facilities ad equipments in the health center should be provided sufficiently. (iii) the utilization of health centers should be raised by active operation of mobil service, community participation and health education program. Ultimately health centers in public sector are to be fostered for the promotion of health care by enhancing the financial and quality, continuity and efficiency of health services.

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A Survey on the Sanitary Condition of Kitchens in School Food-service Programs (일부 학교급식소 조리실의 위생관리에 관한 조사연구)

  • 김종규
    • Journal of Environmental Health Sciences
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    • v.29 no.2
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    • pp.87-93
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    • 2003
  • A survey including an inspection was conducted to assess the sanitary condition of kitchens in the school food-service programs and to prepare background data for improving the safety of school meals. The survey was carried out over a two-month period (September-October, 2001). A self-administered questionnaire recommended by the Korea Ministry of Education & Human Resources Development (MOEHRD) was offered to a random sample of dieticians of twenty-five elementary schools in one region of Korea about food, sanitation, and safety inspection of their kitchens. Air temperature, relative humidity, and airborne microbes in the kitchens were monitored during preparation, cooking, and service. The inspection results showed their sanitary rendition met the level B of the recommendation of the Korea MOEHRD. The range of air temperature of the kitchens was 21.4~22.4$^{\circ}C$. and the range of relative humidity was 62.4~69.6%. The microbiological evaluation of kitchen samples indicated aerobic plate count levels from 22..5 to 26.5 CFU/15 minutes. Although the results of inspection show that the levels of sanitary condition of kitchens in the schools were good, they are not satisfactory for safe food-servile because the temperature and humidity levels are high. This study indicates that the school kitchens should be monitored and strict inspection is necessary. The legal standards for school food-service should include standards for kitchen air temperature, relative humidity, and airborne microbes.

The Influence of Service Marketing Mix on Eating-out Customers' Perceptions Values(Focused on Family Restaurants in Seoul) (패밀리레스토랑의 서비스마케팅믹스가 외식고객의 가치에 미치는 영향 (서울지역의 패밀리레스토랑을 위주로))

  • Yoon, Tae-Hwan
    • Korean journal of food and cookery science
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    • v.25 no.3
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    • pp.306-316
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    • 2009
  • The purpose of this study was to investigate the influence of service marketing mix on customers' perceptions of values at family restaurants in Seoul. Frequency analysis, ANOVA, reliability analysis, factor analysis, multi-regression analysis were employed to analyze the data. First, perceptions for items such as food (p<.001), price (p<.001), process (p<.001), and employees were significantly different with regard to monthly spending money, and food (p<.001), physical evidence (p<.001), and employees (p<.001) were also significantly different by partner. All of the mixes (food, price, place, employees p<.001; promotion, process, physical evidence p<.05) had positive influences on the customers' monetary and overall values. And the mixes of place p<.001; price and employees p<.01; and food, process and physical evidence p<.05 negatively affected non-monetary values, whereas promotion had a positive influence. As a result, we conclude that the service marketing mix is an efficient marketing tactic to remove intangible factors from restaurant businesses. Likewise it is highly recommended that food-service companies manage the marketing mix in a customerfriendly manner to minimize the negative characteristics of services toward customers, and to promote the customer appreciation of family restaurants.

Investigating the Effect of Service Quality on Bank Customers' Satisfaction in Bangladesh

  • RAHAMAN, Md. Atikur;ALI, Md. Julfikar;KEJING, Zhang;TARU, Rupali Dilip;MAMOON, Zahidur Rahman
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.823-829
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    • 2020
  • In this competitive era, it has become a prerequisite for the financial firms providing banking services to understand and meet the customers' needs and demands to remain competitive in today's market environment. Without satisfying the customers, banking business cannot stand alone. To satisfy customers, it is often recommended to provide better quality banking services to the bank customers. Providing quality banking services has become a prime strategic tool for the banking sector nowadays. Therefore, the study investigates the effect of various dimensions of service quality of banking service on customer satisfaction in a developing country, Bangladesh. A total of 212 walking Bangladeshi banking customers participated in this research. A structured questionnaire was developed based on past research. SPSS is utilized for analysis and Likert scale was used in this study. Internal consistency of all items was found correct and a total of seven hypotheses were proposed. For testing, a 5% significance level is considered for acceptance of hypothesis. The findings show that, except employee competency, all other variables such as reliability, assurance, tangibles, responsiveness, empathy, and access to service have positive influence on customer satisfaction. The study provides policy implications for the management boards of the banking sectors.

Factors Influencing Cooperation between Nurses and Social Workers (간호사와 사회복지사의 상호 협력에 영향을 미치는 요인)

  • Kim, Hee-Jeong;Bae, Jin-Hee;Park, Sun-Young
    • Journal of Korean Public Health Nursing
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    • v.25 no.2
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    • pp.209-220
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    • 2011
  • Purpose: The study investigated the level of mutual cooperation among those engaged in public and private nursing and social welfare to understand contributing factors. Method: The subjects were 289 nurses and 279 social workers. The level of mutual cooperation between nurses and social workers was evaluated. taking into account related personal factors and organizational environmental factors. Results: The level of mutual cooperation between nursing and social welfare organizations showed the following sequence, in decreasing order; public nursing, public social welfare, private nursing and private social welfare personnel. The factors affecting nurses' cooperation with social welfare personnel were expected duties, understanding of social workers' service, service autonomy, service appropriateness, and the training environment of the organization. Factors influencing the level of cooperation of social workers with nurses included understanding of nursing service, understanding of the efficiency gained by cooperation, service appropriateness and the training environment of the organization. Conclusion: The development of training programs to increase the level of cooperation between the nursing and social welfare fields is strongly recommended.

Ankuk Fire & Marine Insurance's Use of Electronic Data Interchange on Cargo Insurance Processing (안국화재해상보험의 적하보험 EDI 활용)

  • Gang, Yeong-Mu
    • Asia pacific journal of information systems
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    • v.1 no.1
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    • pp.147-163
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    • 1991
  • The insurance industry is highly competitive since it is difficult to differentiate one company's service from another. This paper examines how Ankuk Fire & Marine Insurance has differentiated its service and improved its competitive edge against others by using electronic data interchange (EDI). In order to improve its service level, Ankuk Fire Insurance has significantly reduced paper work by transmitting information electronically to its customers. This was possible with standardized product codes and databases which were installed both on the Ankuk and customer premises. Ankuk Fire Insurance transmits its customer's insurance information to the customer's database instead of hand-carrying or mailing it. The main benefits of this has been: (1) fewer errors as data does not need to be re-entered, (2) faster customer service with electronic data delivery, and (3) better quality customer service due to highly structured relationships with customers. EDI will soon be available to all insurance companies due to the goverment's aggressive promotion of a KTNet plan. Ankuk Insurance, therefore, needs to adopt the standardized protocol recommended by KTNet and develop new products which will give them a competitive edge and minimize the possibilities of losing their clients to other insurance firms.

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User-to-User Matching Services through Prediction of Mutual Satisfaction Based on Deep Neural Network

  • Kim, Jinah;Moon, Nammee
    • Journal of Information Processing Systems
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    • v.18 no.1
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    • pp.75-88
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    • 2022
  • With the development of the sharing economy, existing recommender services are changing from user-item recommendations to user-user recommendations. The most important consideration is that all users should have the best possible satisfaction. To achieve this outcome, the matching service adds information between users and items necessary for the existing recommender service and information between users, so higher-level data mining is required. To this end, this paper proposes a user-to-user matching service (UTU-MS) employing the prediction of mutual satisfaction based on learning. Users were divided into consumers and suppliers, and the properties considered for recommendations were set by filtering and weighting. Based on this process, we implemented a convolutional neural network (CNN)-deep neural network (DNN)-based model that can predict each supplier's satisfaction from the consumer perspective and each consumer's satisfaction from the supplier perspective. After deriving the final mutual satisfaction using the predicted satisfaction, a top recommendation list is recommended to all users. The proposed model was applied to match guests with hosts using Airbnb data, which is a representative sharing economy platform. The proposed model is meaningful in that it has been optimized for the sharing economy and recommendations that reflect user-specific priorities.

Keyword-Based Contents Recommendation Web Service (키워드 기반 콘텐츠 추천 웹서비스)

  • Park, Dong-Jin;Kim, Min-Geun;Song, Hyeon-Seop;Yoon, Seok-Min;Kim, Youngjong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.346-348
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    • 2022
  • Media Contents Recommendation Web Service (service name 'mobodra') is a web service that analyzes media types and genre tastes for each user and recommends content accordingly. Users select some of the works randomly provided on the web when signing up for membership and analyze their tastes based on this. Based on this analysis, preferred content for each user is recommended. In this paper, we implement a content recommendation algorithm through item-based collaborative filtering. When the user's activity data or preference is re-examined, the above process is executed again to update the user's taste.