• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.399-406
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• 2002

The goal of this research has been to develop an adaptive user agent for web surfing. To achieve this goal, the research has concentrated on three issues: collection of user data, construction and improvement of user profile, and adaptation by applying the user profile. The main outcome from the research is a prototype system that provides the functional definition and componential design scheme for an adaptive user agent for the web environment. Internally, the system achieves its operational goal from the cooperation of two independent agents. They are IIA (Interactive Interface Agent) and UPA (User Profiling Agent). As a tool for providing a user-friendly interface environment, the IIA employs the Keyword Index, which is a list of index terms of a webpage as well as a keyword menu for subsequent queries, and the Suggest Link, which is a hierarchical list of URLs showing the past browsing procedure of the user. The UPA reflects in the User Profile, both the static and the dynamic information obtained from the user's browsing behavior. In particular, a user's interests are represented in the form of Interest Vectors which, based on the similarity of the vectors, is subject to update and creation, thus dynamically profiling the user's ever-shifting interests.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.564-568
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• 2011

Microblogs became popular information delivery ways due to the spread of smart phones. They have the characteristic of reflecting the interests of users more quickly than other medium. Particularly, in case of the subject which attracts many users, microblogs can supply rich information originated from various information sources. Nevertheless, it has been considered as a hard problem to obtain useful information from microblogs because too much noises are in them. So far, various methods are proposed to extract and track some subjects from particular documents, yet these methods do not work effectively in case of microblogs which consist of short phrases. In this paper, we propose a graph-based topic extraction and partitioning method to understand interests of users about a certain keyword. The proposed method contains the process of generating a keyword graph using the co-occurrences of terms in the microblogs, and the process of splitting the graph by using a network partitioning method. When we applied the proposed method on some keywords. our method shows good performance for finding a topic about the keyword and partitioning the topic into sub-topics.

• Journal of KIISE:Databases
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• v.36 no.4
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• pp.321-326
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• 2009

Since the existing Web search engines don't sufficiently reflect user's search intent, it is very difficult to find out accurate information that users want to find. Therefore, a lot of researches, study for personalized search, to enhance satisfaction of Web search results by analyzing search pattern and applying it to search are in progress in these days. Web searchers can more efficiently find information and easily obtain appropriate information through the personalized search. In this paper, we propose the personalized search based on community through the analysis of web users' query patterns and interest. Consequently, when applying query frequency, interest and community to web search, we are able to the confirm that the search results which hit to the search intent of the individual are provided.

• Information and Communications Magazine
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• v.24 no.6
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• pp.83-92
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• 2007

차세대 방송은 시청자에게 고품질의 멀티미디어 서비스는 물론 다양한 상호작용 기능도 제공해야 한다. 사용자 상호작용은 시청자의 행동이 방송콘텐츠에 영향을 주거나 방송콘텐츠가 의도한 상황으로 시청자가 방송을 즐길 수 있게 한다. 차세대 방송은 이러한 사용자 상호작용 서비스를 통해서 보다 실감나는 방송을 시청자에게 제공할 수 있다. 요즘 관심을 끌고 있는 3차원 방송은 주로 자유시점 영상서비스에만 초점을 맞추고 있어서, 넓은 의미의 사용자 상호작용 서비스를 지원하기에는 부족하다. 본 논문에서는 방송기술의 발전 추세를 살펴보고, 사용자 상호작용 기술에 대한 국내외 상황을 분석해 본다.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.77-78
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• 2017

사용자 중심의 스마트 홈의 필요성과 1인가구가 증가함에 따라 현대인들의 건강에 대한 관심도 높아지고 있다. 본 연구는 사용자 중심의 스마트 홈의 필요성을 인지하고 1인가구 사용자의 니즈를 분석하여 사용자의 주거공간에 적용될 수 있는 헬스 케어 서비스를 제안하였다. 본 연구는 사용자의 요구를 고려한 편리하고 효율적인 1인가구 헬스케어를 위한 스마트 홈 디자인 방향을 제시하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.349-351
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• 2004

오늘날 웹 서비스는 많은 관심을 받으며 발전하고 있다. 이러한 발전과 함께 다양한 시스템과 다양한 사용자를 관리해야하는 어려움 또한 직면한 상태이다. 각각의 시스템에서 사용자를 별도로 관리하는 것은 보안상의 문제뿐 아니라 유지보수 면에서도 비효율적인 것이다. 사용자 또한 여러 시스템에서 각각의 인증을 받는 불편함이 있다 따라서 기업내의 모든 자원과 사용자에 대한 통합을 통해서 일관된 자원 및 사용자를 관리 가능하게 하는 통합접근관리 기술의 도입이 보안상의 취약한 부분을 보완하게 해줄 것이다. 본 논문에서는 XML 기반의 웹 서비스환경에서 통합접근 관리를 연구하였다.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.431-438
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• 2012

Recently, many mobile applications have been developed and published by increasing popularity of smart phone's market. However, a lack of research work is an issue for mobile applications' favoritism to users. In this paper, we have determined the acceptance factors on the existing smart phone applications in order to fit into mobile user's requirements. In addition, we have defined the modification of acceptance factors which are the interesting element of mobile applications, code users reviews of top 20 paid applications among android market applications, and analyse on what element can attract users' interest of mobile applications. As a result, we propose a development method of mobile applications based on the analyzed interesting elements. Our contribution is to provide useful information to mobile application companies for helping them to develop and publish successful mobile applications.

• Journal of KIISE:Software and Applications
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• v.35 no.8
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• pp.522-528
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• 2008

Topic map typically provide information to user through the selection of topics, that is using only topic, association, occurrence on the first topicmap which is made by domain expert without regard to individual interests or context, for the purpose of supplementation for the weakness which is providing personalized topic map information, personalization has been studied for supporting user preference through preseting of customize, filtering, scope, etc in topic map. Nevertheless, personalization in current topicmap is not enough to user so far. In this paper, we propose a design of PTRS(personalized topicmap ranking system) & algorithm, using both user profile(click through data) and basic element of topic map(topic, association) on knowledge layer in specific domain topicmap, therefore User has strong point that is improvement of personal facilities to user through representation of ranked topicmap information in consideration of user preference using PTRS.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1205-1212
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• 2004

As electronic commerce systems have been widely used, the necessity of adaptive e-commerce agent systems has been increased. These kinds of adaptive e-commerce agents can monitor customer's behaviors and cluster thou in similar categories, and include user's preference from each category. In order to implement our adaptive e-commerce agent system, in this paper, we propose an adaptive e-commerce agent systems consider customer's information of interest and goodwill ratio about preference goods. Proposed system build user's profile more accurately to get adaptability for user's behavior of buying and provide useful product information without inefficient searching based on such user's profile. The proposed system composed with three parts , Monitor Agent which grasps user's intension using monitoring, similarity reference Agent which refers to similar group of behavior pattern after teamed behavior pattern of user, Interest Analyzing Agent which personalized behavior DB as a change of user's behavior.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.277-279
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• 2004

본 논문은 생명체 세포에 존재하는 방대한 단백질들 사이의 상호작용 관계들로 표현되는 네트워크에서 사용자가 관심 있는 부분 네트워크를 개념적으로 필터링 할 수 있는 방법을 설계하고 구현하였다. 이 방법은 1) 유전자 온톨로지를 이용하여 필터링 조건을 입력하고, 2) 이 조건을 만족하는 단백질들을 네트워크에서 필터링 한 다음, 3) 이 단백질들 중 사용자가 관심이 있는 단백질만 선택하고, 4) 선택된 단백질들과 일정 거리에 있는 상호작용 관계들을 필터링 함으로서 수행된다. 네트워크 필터링은 생물학자가 방대한 네트워크에서 자신이 관심이 있는 단백질들과 이들 사이의 관계에만 집중할 수 있도록 지원한다.