• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.446-465
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• 2015

In this modern era of technology and information, e-learning approach has become an integral part of teaching and learning using modern technologies. There are different variations or classification of e-learning approaches. One of notable approaches is Personal Learning Environment (PLE). In a PLE system, the contents are presented to the user in a personalized manner (according to the user's needs and wants). The problem arises when a new user enters the system, and due to the lack of information about the new user's needs and wants, the system fails to recommend him/her the personalized e-learning contents accurately. This phenomenon is known as cold-start problem. In order to address this issue, existing researches propose different approaches for recommendation such as preference profile, user ratings and tagging recommendations. In this research paper, the implementation of a novel interaction-based approach is presented. The interaction-based approach improves the recommendation accuracy for the new-user cold-start problem by integrating preferences profile and tagging recommendation and utilizing the interaction among users and system. This research work takes leverage of the interaction of a new user with the PLE system and generates recommendation for the new user, both implicitly and explicitly, thus solving new-user cold-start problem. The result shows the improvement of 31.57% in Precision, 18.29% in Recall and 8.8% in F1-measure.

• 산업융합연구
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• 제22권2호
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• pp.13-22
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• 2024

현대 학습자들은 배경, 학습 스타일, 능력 등에서 다양한 차이를 보인다. 하지만 모든 학습자에게 동일한 학습 내용을 전달하는 전통적 교육 방법은 이러한 학습자의 다양성을 충분히 고려하지 못한다. 따라서 개별 학습자의 특성에 따라 최적의 학습 경험을 제공하는 맞춤형 학습 시스템의 구현은 오늘날 에듀테크 시대에 더욱 중요해졌다. 본 논문은 증가하는 학습자 중심의 교육 요구에 따라 학습자의 특성, 관심사, 학습 이력 등을 종합적으로 분석할 수 있는 모델들을 파악한 후 이를 기반으로 맞춤형 학습 시스템을 설계했다. 본 시스템은 학습자의 학습 이력을 기반으로 학습자의 현재 수준과 목표에 맞춘 자기주도적 학습을 지원하기 위해 강점과 약점을 파악할 수 있도록 설계되었으며 이 과정에서 시스템의 설계 변경 없이 필요한 학습 요소들을 확장할 수 있도록 구성하였다. 본 연구를 통해 사용자 맞춤형 학습 시스템 구축에 필요한 주요 기반을 파악하고 맞춤형 학습을 지원하기 위한 시스템 아키텍처를 효과적으로 구축할 수 있다.

• 대한임베디드공학회논문지
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• 제4권2호
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• pp.79-83
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• 2009

Streaming Technology can support the real-time playback without downloading and storing multimedia data in local HDD. So, client browser or plug-in can represent multimedia data before the end of file transmission using streaming technology. Recently, the demand for efficient real-time playback and transmission of large amounts of multimedia data is growing rapidly. But most users' connections over network are not fast and stable enough to download large chunks of multimedia data. In this paper, we propose an intelligent IP streaming system based on personalized media service. The proposed IP streaming system enables users to get an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. The supposed intelligent IP streaming system consists of Server Metadata Agent, Pumping Server, Contents Storage Server, Client Metadata Agent and Streaming Player. And in order to implement the personalized media service, the user information, user preference information and client device information are managed under database concept. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with manufacturing home server system and simulation results.

• 정보처리학회논문지B
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• 제16B권6호
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• pp.435-442
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• 2009

본 연구에서는 특정개인에 맞춘 정황정보를 제공할 수 있는 개인화 메세지 주석시스템을 제안한다. 본 시스템에서 컨텍스트는 사용자의 신 분, 위치, 시간등을 포함하는 실체로 정의하며 사용자의 정체는 개인화된 메세지 생성의 주된 데이터이다. 컨텍스트를 감지하기 위해 증강현실 기술이 사용되며, 사용자의 위치를 추적하기 위해 실제 물체에 마커가 부착된다. 증강현실 기술은 인간의 지각과 상호작용을 강화시키는 아주 효과적인 주석 방법으로 사용될 수있다. 메시지는 가상 문자메세지 또는 3차원 가상물체일 수 있다. 실험결과는 제안된 시스템이 실시간으로 효과적으로 작동됨을 보여주며 또한 개인화 메시지를 제공하는 모바일 서비스로 사용될 수 있음을 보였다.

• 한국정보시스템학회지:정보시스템연구
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• 제18권3호
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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.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 공동추계학술대회
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• pp.359-368
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• 2005

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have been so far rare. Hence, this paper aims to propose a proactive need awaring mechanism by applying agent, semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. Rescorla-Wagner model is adopted as an underlying need awaring theory. We have created a prototype system. called NAMA(Need Aware Muiti-Agent)-RFID. to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper Moreover, to test if the proposed system works in terms of scalability, a simulation was performed and the results are described.

• 한국경영과학회지
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• 제33권4호
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• pp.31-51
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• 2008

Predicting the preferences of users and providing the personalized services/products based on users' preferences is one of the important issues. However, the research considering users' preferences on context-aware computing is a relatively insufficient research field. Hence, this paper aims to propose a framework for providing the personalized services based on context history in context-aware computing. Based on this framework, we have implemented a prototype system to show the feasibility of the framework. Previous researches have reasoned the preferences of the user considering only the user's input, but this research provides the personalized services using the relationship between users' profile and services.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2004년도 추계학술대회
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• pp.242-248
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• 2004

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have so far been rare. Hence, this paper aims to propose a proactive need identification mechanism by applying agent and semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. We have created a prototype system, RFID-based NAMA (Need Aware Multi-Agent), to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper. NAMA considers the context, user profile with preferences, and information about currently available services, to discover the user's current needs and then link the user to a set of services, which are implemented as web services.

• 한국콘텐츠학회논문지
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• 제5권6호
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• pp.152-162
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• 2005

입시 정보에 대한 정보의 양이 방대하고 콘텐츠 범위가 광범위한 조건은 사용자에게 정보를 찾고, 수집하고, 비교하는 데 있어 어려움을 겪을 수밖에 없는 환경을 야기한다. 이에 본 연구에서는 입시 사이트의 사례로 대학, 입시 정보를 사용자가 어떻게 수집하고 분류하고 비교하는지에 대한 사용성 평가를 통해 사용자들의 어려움과 니즈를 파악하고 동시에 개인화 정보 수집에 대한 필요성을 검증하여 개인화 인포메이션 아키텍처 시스템을 적용한 입시정보 웹사이트 제작 가이드라인을 제시하고자 한다. 즉, 본 연구는 인포메이션 아키텍처에 대하여 사용성 평가를 통해 사용자 중심의 개인화 정보 구조 설계 시스템(PIA:Personailized Information Architecture)설계를 위한 가이드라인을 제시하는 것이 목적이다.

• 대한임베디드공학회논문지
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• 제4권3호
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• pp.139-147
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• 2009

This paper proposed the context awareness reasoning system to provide the personalized services dynamically in a ubiquitous mobile environments. The proposed system is designed to provide the personalized services to mobile users and consists of the context aggregator and the knowledge manager. The context aggregator can collect information from networks through Open API Gateway as well as sensors in a various ubiquitous environment. And it can also extract the place types through the geocoding and the social address domain ontology. The knowledge manager is the core component to provide the personalized services, and consists of activity reasoner, user pattern learner and service recommender to provide the services predict by extracting the optimized service from user situations. Activity reasoner uses the ontology reasoning and user pattern learner learns with previous service usage history and contexts. And to design service recommender easy to flexibly apply in dynamic environments, service recommender recommends service in the only use of current accessible contexts. Finally, we evaluate the learner and recommender of proposed system by simulation.