• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.11a
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• pp.13-13
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• 2004

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.113-117
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• 2003

As the wireless communication technology advances rapidly, a personalization technology can be incorporated with the mobile Internet environment, which is based on location-based services to support more accurate personalized services. A location-based personalized recommender system is one of the essential technologies of the location-based application services, and is also a crucial technology for the ubiquitous environment. In this paper we propose a framework of a location-based personalized recommender system for the mobile Internet environment. The proposed system consists of three modules the interface module, the neighbor selection module and the prediction and recommendation module. The proposed system incorporates the concept of the recommendation system in the Electronic Commerce along with that of the mobile devices for possible expansion of services on the mobile devices. Finally a service scenario for entertainment recommendation based on the proposed recommender system is described.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.899-904
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• 2005

Necessity of the service-on-demand that reflect a personal characteristic of a customer was increased by an aggravation of web service competition. So a study on a customization is being performed actively. The common customization system supporting of the personalization is performed through the computational data like individual characteristic or preference. Various studies on the service that used emotional information were performed. But we can't use this emotional information in the web system because of characteristics of emotional information system In this study, we design the adaptive customization system that used emotional information of the customer and analyse the system by experiments.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.1-11
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• 2016

The purpose of this study is to examine the factors influencing relationship quality and L-Loyalty in Location-Based Service (LBS). This model tests various theoretical research hypotheses relating to LBS, relationship quality, and L-Loyalty. The target population of this study is LBS users. The results of hypothesis testing are as follows. First, personalization and perceived value positively influence commitment and perceived risk negatively influence commitment. Second, personalization, ubiquity, and perceived value positively influence satisfaction and perceived risk negatively influence satisfaction. Finally, commitment and satisfaction positively influence L-Loyalty. The results of the study will provide various implications to improve relationship quality and to secure high loyalty customers in LBS.

• Journal of Digital Contents Society
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• v.15 no.4
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• pp.465-471
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• 2014

This paper, describes software hybrid platform that display a individual service environment, a standard concomitant web-browsing with interface form by WYSIWYG method webpage specific location as webpage addition without professional programming skill. That provides a controlled individual service working environment, personal platform of low cost/high efficiency the exiting internet webpage without modification. so these skill provide software or contents surfing web site that browsing web site and a distribution environment. this paper proposes a individual hybrid platform of compositional ecosystem that enrich a exiting web site.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.5-33
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• 2018

In this paper, we analyze a user's usage behavior, identify and track search intention and interest field based on the National Science and Technology Standard Classification, and use it to personalize science and technology information. In other words, we sought to satisfy both efficiency and satisfaction in searching for information that users want by improving scientific information search performance. We developed the personalization service of science and technology information and evaluated the suitability and usefulness of personalized information by comparing the search performance between expert experimental group and control group. As a result, the personalization service proposed in this study showed better search performance than comparative service and proved to provide higher usability.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.1
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• pp.69-80
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• 2005

Recent popularity of web-ready mobile devices such as PDA and cellphone has made mobile Internet access very popular. However, most of existing Web contents and services are optimized for desktop computing environment and not well suited for mobile devices. Considering different system features of mobile devices such as small display and limited input capability, an alternative scheme to access the Web efficiently is required. On the other hand, personalization plays an important role in the tailored access to the Web contents and services. In this paper, we propose a proxy- based personalization scheme of Web service pages for mobile users. For that purpose, in addition to log data. service related features of Web pages are considered for the correct identification of popular services. It automatically provides mobile users with the tailored list of Web services well suited for diverse mobile devices. Consequently, mobile users can utilize customized Web services with minimum navigation on the mobile devices with limited capability. In order to show its effectiveness, we have performed several experiments on the prototype system and reported some of the results.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.137-146
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• 2017

This study explores the impacts of application attributes of coffee chains on consumer's re-purchase decision-making processes in the context of coffee chains. We posited coffee quality, service quality, and physical environment as key service attributes of coffee chains and personalization, usefulness, economy, and convenience as key application attributes. The moderating effect of application attributes on the relationship between consumer satisfaction and repurchase intention was investigated. The theoretical framework was tested based on 382 consumers who frequently visit coffee chains and install their applications. PLS method was used to analysis the hypotheses. The theoretical model accounts for 48.1% of variance in customer satisfaction and 41.6% of variance in repurchase intention. The analysis results showed that personalization and convenience play an moderating effect on consumer's repurchase decision-making processes. Coffee quality and physical environment were found to have significant effects on customer satisfaction, while service quality does not significantly influence consumer satisfaction. Brand image has a significant effect on customer satisfaction and repurchase intention.

• The KIPS Transactions:PartA
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• v.16A no.5
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• pp.389-394
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• 2009

Lately the usage of multimedia equipment with small LCD displays is rapidly increasing. Although many people use devices like this, videos intended for TV or HDTV are sent to these mobile devices. Therefore cases where it is hard for the user to view the desired scenes are growing more frequent. Currently, most services simply reduce the size of the content to fit the screen when they offer it for mobile devices. However, especially with sports broadcasts, there are many areas that cannot be seen very well because it was simply reduced in size. We therefore consider this weakness and are researching how to let the user choose an area of interest and then sending it to the user in a way that fits the device. In this paper, we address the problem of video delivery and personalization. For the delivered video content, we suggest the UP-SAM User Personalized Context-Aware Service Adaptation Middleware) model that uses the video content description and MPEG-21 multimedia framework.

• Knowledge Management Research
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• v.21 no.1
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• pp.175-195
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• 2020

The development of platform service based on the information and communication technology has revolutionized patterns of commercial transactions, driving the growth of global economy. Furthermore, the radical advancement of artificial intelligence(AI) presents the huge potential to innovate almost all the industrial and economic activities. Given these technological developments, the goal of this paper is to investigate AI's impact on the platform service innovation as well as its influence on the business performance. For the goal, this paper presents the review of the types of service innovation, the nature of platform services, and technological characteristics of leading AI technologies, such as chatbot and recommendation system. As an empirical study, this paper performs a multiple case study of Kakao Group which is the leading mobile platform service with the most advanced AI in Korea. To understand the role and effect of AI on Kakao platform service, this study investigated three cases, including chatbot agent of Kakao Bank, Smart Call service of Kakao Taxi, and music recommendation system of Kakao Mellon. The analysis results of the case study show that AI initiated innovations in platform service concepts, service delivery, and customer interface, all of which lead to a significant decrease in the transaction costs and the personalization of services. Finally, for the successful development of AI, this research emphasizes the significance of the accumulation of customer and operational data, the AI human capital, and the design of R&D organization.