• Journal of Korea Multimedia Society
• /
• v.7 no.4
• /
• pp.592-600
• /
• 2004

A recommendation system, which is an application area of e-CRM in e-commerce environment, provides individualized goods recommendation service that meets the demand of individual users. In general, existing recommendation systems require extensive historic user information in application domains. However, the method of recommendation based on static historic user information needs to respond flexibly to users'demand that changes rapidly and sensitively over time and in domains including a variety of users. In addition, it is difficult to recommend for new users who are not fall into any of existing domains. To overcome such limitations and provide flexible recommendation service, this study designed and implemented CPAR (Customer Preference Analysis Recommender) system that supports customer preference analysis and filter management. The filtering management capacity of the present system eases the necessity of extensive information about new users. In addition, CPAR system was implemented in XML-based wireless Internet environment for recommendation service independent from platforms and not limited by time and place.

• Journal of Digital Convergence
• /
• v.17 no.6
• /
• pp.113-121
• /
• 2019

The purpose of this study is to identify belief variables of kiosk that affect satisfaction and recommendation intention by applying vertically extended technology acceptance model (TAM). As results of this study are as follows. Firstly, the perceived usefulness and perceived ease of use have an impact on satisfaction statistically. Second, the perceived usefulness and perceived enjoyment of the kiosk showed a positive(+) influence on the recommendation intention. Third, users who satisfied with kiosk service have strong recommendation intention to their friends, family and colleagues so on. These findings support that the usefulness and usability of the new information technology identified in the existing technology acceptance model is a key variable affecting user reactions (satisfaction and recommendation intention). Additionally, the perceived enjoyment is an important factor as new belief variable for explaining the formation of recommendation intention through satisfaction of kiosk service. The results of this study contribute to verifying the empirical model between the belief variables(perceived usefulness, perceived ease of use, perceived enjoyment) and the recommendation intention.

• Health Policy and Management
• /
• v.27 no.1
• /
• pp.63-74
• /
• 2017

Background: This study aims to analyze quality of and satisfaction with Korea medical services and identify factors affecting medical service satisfaction, revisit, and recommendation intention among international patients. Methods: Secondary analysis of survey data conducted by Korea Health Industry Development Institute from June 10th to July 17th in 2013 was done using multiple regression and logistic regression analysis. The 191 international patients from 9 medical institutions in Seoul were enrolled. Results: The results showed that international patients were satisfied with 85.6 points out of 100.0 points. International patients appraised higher in staff service rather than other services. Factors influencing medical service satisfaction were gender, religion, medical specialty, length of stay, and quality of medical services. Quality of medical service explained 29.8% of medical service satisfaction and especially, 'doctor's care' and 'communication and patient respect' were significantly related to medical service satisfaction. Medical specialty had a significant influence on revisit intention. There were no statistically significant influencing factors of recommendation intention. Additionally, more satisfied patients were associated with higher revisit and recommendation intention. Conclusion: This study implies that quality of medical services is a critical factor for patient satisfaction and that satisfaction with medical services is an important factor for increasing revisit and recommendation intention among international patients. In addition, health care providers should consider cultural differences to enhance satisfaction with medical services for international patients. Therefore, multidimensional strategy is required to strengthen the cultural competency of healthcare providers.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.1
• /
• pp.279-303
• /
• 2016

This study proposes the Book-Curation service as part of the information service offered through school library websites. Also, this study aims to establish recommendation standards for curation prior to detailed system planning. For such service, the following tasks were carried out. First, the list of recommended books of existing systems were analyzed to identify the attributes that can be used for recommendation in the user and book information. Second, the analyzed attributes were utilized to establish 12 recommendation standards. Finally, a survey was carried out to identify the user preferences as to each standards. The results are as follows. First, the majority of students responded that curation service is necessary for using a library. Second, the top three standards are as follows: "best lending books based on the keywords of individual users"; "best lending books of the same year students"; "best lending books on the textbook-related reference booklist".

• Culinary science and hospitality research
• /
• v.22 no.5
• /
• pp.252-266
• /
• 2016

The purpose of this study is to verify a relationship among service quality and customer satisfaction of wedding hall restaurants, and recommendation intention, as well as the moderating effect of image of wedding halls and hotels on the relationship. A hierarchical regression analysis thorugh SPSS was conducted to test the model hypotheses. Research samples were collected from 331 customers of wedding hall restaurants and hotels located in Seoul. The findings and implications of the research can be summarized as follows. First, the employees, facilities and environment service, and convenience of wedding hall restaurants had a positive effect on customer satisfaction of wedding hall restaurants. Second, evidence suggested that service quality of wedding hall restaurants had a positive effect on recommendation intention. Third, while there was a negative moderating effect of image of wedding halls and hotels between food and employee service quality and customer satisfaction, a positive moderation effect of image of wedding halls and hotels was found. Fourth, there was a negative moderating effect between customer satisfaction and recommendation intention.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.3
• /
• pp.113-128
• /
• 2022

The objective of this study is to pay attention to the personal media environment that is in the center of rapid changes in the media industry, to especially explore the activity area of one-person or minority media creators who lead the mobile media environment that could be connected, watched, and produced anywhere, and to closely examine the mutual ecosystem between creators and viewers. Especially, paying attention to the recommendation service YouTube provides, for example, based on the big data algorithm related to users' habitual use, when users' data used are provided more, the users face the advanced service, this study aimed to examine the effects of recommendation service on the formation of trust between user and producer, user flow, and subscription intention, and also to demonstrate the process of forming this mutual relation through concrete data. In the conclusion, implications that can be inferred based on the research results and suggestions for further research in the future were presented.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.1
• /
• pp.35-44
• /
• 2017

In this paper, we attempt to investigate the moderating effect of brand power on the effect of in-flight service quality on customer satisfaction and recommendation in the aviation industry. The results were as follows. First, in the case of high brand power FSC(full service carriers), the cost-to-benefit ratio as well as all other flight service properties influence to customer satisfaction. However, in the case of low brand power FSC, the cost-to-benefit ratio showed a greater impact of customer satisfaction compared to other in-flight services. Second, as in the case of customer satisfaction, while the cost-to-benefit ratio more influence to customer recommendation than other in-flight services in low brand power FSC, the cost-to-benefit ratio as well as all other flight service properties influence to customer recommendation together in high brand power FSC. Therefore, low brand power FSC required tit-for-tat strategy against to LCC(low cost carriers) by pursuing disruptive innovation for price. And high brand power FSC required sustaining innovation strategy through improving flight services.

• Fashion & Textile Research Journal
• /
• v.23 no.5
• /
• pp.586-597
• /
• 2021

Personalized product recommendation service is receiving attention as a new marketing strategy while supporting consumer information search and purchasing decisions. This study attempted to verify the effect of self-reference on service use behavior through the dual path of cognitive attitude and emotional attachment. Using convenience sampling, an online survey was conducted with 324 women who were in their 20s and 30s. After collecting and compiling the survey data, the reliability and validity of variables constituting the conceptual research model were verified through confirmatory factor analysis using AMOS 22.0. Next, the significance of sequentially mediated pathways was verified using Process 3.5 Model 80. The results showed that self-referencing not only significantly affects service use intention by simply mediating cognitive attitudes but also sequentially mediates cognitive attitudes and additional information search. Furthermore, self-referencing was significant as an indirect path to service use intention by mediating additional information search. However, in the path mediated by emotional attachment, self-referencing was considered as a simple mediated path leading to service usage intention. These results indicate a dual path in the psychological mechanism, through cognitive and emotional evaluation, that prompts consumer behavioral responses to the personalized product information provided in the shopping process.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.5
• /
• pp.1446-1465
• /
• 2022

Diversified SaaS applications allow users more choices to use, according to their own preferences. However, the diversification of SaaS applications also makes it impossible for users to choose the best one. Furthermore, users can't take advantage of the functionality between SaaS applications. In this paper, we propose a platform that provides an SaaS mashup service, by extracting interoperable service functions from SaaS-based applications that independent vendors deploy and supporting a customized service recommendation function through log data binding in the cloud environment. The proposed SaaS mashup service platform consists of a SaaS aggregation framework and a log data binding framework. Each framework was concreted by using Apache Kafka and rule matrix-based recommendation techniques. We present the theoretical basis of implementing the high-performance message-processing function using Kafka. The SaaS mashup service platform, which provides a new type of mashup service by linking SaaS functions based on the above technology described, allows users to combine the required service functions freely and access the results of a rich service-utilization experience, using the SaaS mashup function. The platform developed through SaaS mashup service technology research will enable various flexible SaaS services, expected to contribute to the development of the smart-contents industry and the open market.

• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.1
• /
• pp.55-60
• /
• 2020

Adaptive recommendation systems have been developed with big data processing as a system that provides services tailored to users based on user information and usage patterns. Deep learning can be used in these adaptive recommendation systems to handle big data, providing more efficient user-friendly recommendation services. In this paper, we propose a system that uses deep learning to categorize and recommend tourism types to suit the user's personality. The system was divided into three layers according to its core role to increase efficiency and facilitate maintenance. Each layer consists of the Service Provisioning Layer that real users encounter, the Recommendation Service Layer, which provides recommended services based on user information entered, and the Adaptive Definition Layer, which learns the types of tourism suitable for personality types. The proposed system is highly scalable because it provides services using deep learning, and the adaptive recommendation system connects the user's personality type and tourism type to deliver the data to the user in a flexible manner.