• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.39-42
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• 2003

A community can have a physical presence or can be formed from a group of people who communicate remotely via a conference call, a fixed Internet chatroom or instant message solution and most recently, a mobile handset. The mobile handset gives community members the advantage over fixed line or physical communities that they are not constricted by time or place as to when they can communicate with any members of their community. Operators, riding on the back of the SMS boom, are deploying community applications to increase both average revenue per user and customer loyalty. The purpose of this study is to find the effects of the characteristics of mobile community on the consumers'satisfaction and loyalty so that operators'participation in mobile community could be enhanced. A general model for the study was proposed with three independent variables. The variables are community usability(dialog and social support, information design, navigation, access), community sociability (purpose, people, policies), and mobile community content(location, personalization, immediacy, availability).

• The Journal of Information Systems
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• v.18 no.3
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• pp.211-229
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• 2009

Recently, trends of information technology development include offerings of service for personalization, intelligence, and convergence. The research suggested a new tour system that tourists can make their tour packages by applying Semantic Web technology. The system includes ontologies and inference rules for offering intelligent and personalized service. Our system called MYT (Make Your Tour-package) was successfully demonstrated by employing realistic scenarios. Current version of the MYT system needs manager's intervention to link and integrate automatically ontology subsystem and Web service. In further study, the MYT will be extended to the system including a component integrating automatically subsystems and a component capturing and processing context data from RFID/USN.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.441-444
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• 2000

본 연구에서는 분류된 5가지 행정모델을 이용하여 현재 국내 행정모델의 특성을 추출하고, 아울러 행정모델의 전환에 대하여 논의하게 되며, 이를 통하여 한국 행정은 기계적 행정모델에서 네트워크 행정모델로의 이행 시점에 있음을 밝히고자 한다. 네트워크 행정모델 하에서는 지식, 정보, 자료, 멀티미디어 등을 통합한 개념인 Contents가 다양하게 공유되는데, 이 중에서 공유 및 활용의 효과가 가장 큰 것이 지식이다. 네트워크 정부모델 하에서는 지식의 의존도가 그만큼 높아지게 된다. 따라서 지식을 효율적으로 이용하기 위한 방안으로 Knowledge Portal 개념을 도입하여 행정지식을 사용자 관점에서 분류하고, 이를 통하여 Personalization 전략과 Codification 전략의 상호 보완적인 활용이 가능함을 제시한다. 아울러 지식 기반 행정의 구축을 위해서는 제도의 변화가 필요하며, 이러한 제도 중 성과측정 분야를 집중적으로 논의하게 되며, 이를 위하여 Balanced Scorecard의 개념을 도입하여 행정대상, 행정주체, 예산, 학습의 균형적인 성과측정 방안에 대하여 논의하고자 한다.

• Journal of Digital Convergence
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• v.5 no.2
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• pp.71-81
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• 2007

This study is to design the web-based educational setting in industry to test the effectiveness of online teaching in Korea. Especially this study focuses on the impact of information technology on educational influence on employees in small and medium-sized enterprises (SME) because these experimental settings are differed from universities or large firms often called Jaebaels. The findings of the study are summarized as education setting especially personalization content materials greatly influences on the speed and quality of employees' learning. Also the positive attitudes of employees toward the learning environment correlate to the effectiveness of online learning in SME.

• Journal of Digital Contents Society
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• v.4 no.2
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• pp.191-202
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• 2003

This paper presents a design and implementation example of intelligent equipment management system that is constructed to manage high price equipment of digital content department effectively. To support system operation we executed data mining and presented various rules that appear in dat3 mining process based on dat3 of user, equipment and using record. We presented personalization plan of web site to offer user dependent administration policy and dynamic interface using analyzed informatio.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.253-255
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• 2003

We address an integrated multimedia framework based on a software agent platform for context-aware multimedia computing. We adopt the FIPA (Foundation for Intelligent Physical Agents) platform which provides agent communications and management mechanisms. In order to express context information, we use MPEG-21 metadata for describing user characteristics and usage environment. We encapsulate such context information as a FIPA message to be delivered between agents. Based on context information, appropriate multimedia content delivery becomes possible. We present our system implementation with a use case scenario and show that our proposed framework is effective for context-aware multimedia computing so that personalization of multimedia consumption can be possible.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.318-327
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• 2008

With the advance of information technologies and the spread of Internet use, the volume of usable information is increasing explosively. A content recommendation system provides the services of filtering out information that users do not want and recommending useful information. Existing recommendation systems analyze the records and patterns of Web connection and information demanded by users through data mining techniques and provide contents from the service provider's viewpoint. Because it is hard to express information on the users' side such as users' preference and lifestyle, only limited services can be provided. The semantic Web technology can define meaningful relations among data so that information can be collected, processed and applied according to purpose for all objects including images and documents. The present study proposes a content recommendation search system that can update and reflect personalized profiles dynamically in semantic Web environment. A personalized profile is composed of Collector that contains the characteristics of the profile, Aggregator that collects profile data from various collectors, and Resolver that interprets profile collectors specific to profile characteristic. The personalized module helps the content recommendation server make regular synchronization with the personalized profile. Choosing music as a recommended content, we conduct an experience on whether the personalized profile delivers the content to the content recommendation server according to a service scenario and the server provides a recommendation list reflecting the user's preference and lifestyle.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.4
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• pp.218-228
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• 2008

The convergence of broadcasting and telecommunication services is being accelerated by broadband networks, digital broadcasting and Web2.0. This paper describes the definition and service characteristics of IPTV as a representative of broadcasting and telecommunication convergence services. Especially, the changes of infrastructure and technology for IPTV2.0 are addressed in terms of the service features of mobility, intelligence and participation. IPTV2.0 shall be characterized by the open IPTV service based on Web2.0 and the mobile IPTV service over the heterogeneous networks employing various wireless/wired access technologies. The IP Multimedia Subsystem (IMS) and Service Delivery Platform (SDP) technologies are increasingly considered to support the personalization and openness. The mobility management technology is being evolved to provide QoS-guaranteed mobile communication services to users at anytime and anywhere. IPTV2.0 services and platforms are also anticipated to be core components to achieve knowledge-based ubiquitous society. IPTV2.0 contents are required to be integrated with the enhanced metadata to efficiently support search, selection, convergence and delivery of the contents. Moreover, those contents shall be enhanced to provide the scalable services which is adaptable to the network status and user preferences. Therefore, the networking technologies for IPTV2.0 should tightly cooperate with application services and adaptive contents. Those technologies will be developed to construct the ubiquitous content service platform considering the evolution of networks and various converged services.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.5
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• pp.326-338
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• 2006

In this paper, we propose the weighted Markov model for recommending the users' prefered contents in the environment with considering the users' transition of their content consumption mind according to the kind of contents providing in time. In general, TV viewers have an intention to consume again the preferred contents consumed in recent by them. In order to take into the consideration, we modify the preference transition matrix by providing weights to the consecutively consumed contents for recommending the users' preferred contents. We applied the proposed model to the recommendation of TV viewer's genre preference. The experimental result shows that our method is more efficient than the typical methods.

• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.111-121
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• 2009

In this paper, we propose a multimedia recommender system using user's playback time. Proposed system collects multimedia content which is requested by user and its user‘s playback time, as web log data. The system predicts playback time.based preference level and related contents from collected transaction database by fuzzy association rule mining. Proposed method has a merit which sorts recommendation list according to preference without user’s custom preference data, and prevents a false preference. As an experimental result, we confirm that proposed system discovers useful rules and applies them to recommender system from a transaction which doesn‘t include custom preferences.