• 제목/요약/키워드: Personalized portal

검색결과 23건 처리시간 0.021초

Enterpise 2.0 기반의 업무 맞춤 포털 모델 설계 (Designing a Personalized Portal Model based on Enterprise 2.0)

  • 송상섭;김선미;김선호;강윤수
    • 한국IT서비스학회:학술대회논문집
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    • 한국IT서비스학회 2008년도 춘계학술대회
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    • pp.364-367
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    • 2008
  • Cyber office is a personalized enterprise portal model for knowledge workers. The key services of cyber office are both personalization and emergent collaboration. Personalization service is provided by choosing service from service repository and then dropping it in the cyber office. Service repository contains various kinds of services supporting business activities. Cyber office provides blog service and profile service for knowledge workers to participate in knowledge based collaboration voluntarily.

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연구개발기관의 업무특성을 반영한 맞춤형 포털 모델 (A Personalized Portal Model characterized for Research and Development Organization's Work Patterns)

  • 송상섭;김선미;김선호;강용수
    • 한국IT서비스학회:학술대회논문집
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    • 한국IT서비스학회 2007년도 추계학술대회
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    • pp.206-209
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    • 2007
  • The work patterns in the organizations performing research and development projects consist of both administrative business with defined processes and knowledge-oriented research and development business with undefined or semidefined processes. This paper describes an enterprise portal model and its services aligned to research and development organization's work patterns. The proposed portal model is focused on constructing personalized workplaces providing knowledge-based services for research and development business, as well as business process management based services for administrative business. The further research will provide more concrete portal model and its applicability to research and development organization's business.

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웹 포털 이용자 로그 데이터에 기반한 개인화 검색 서비스 모형의 설계 및 평가 (Design and Evaluation of a Personalized Search Service Model Based on Web Portal User Activities)

  • 이소영;정영미
    • 정보관리학회지
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    • 제23권4호
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    • pp.179-196
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    • 2006
  • 이 연구에서는 한국형 포털에 적합한 커뮤니티 기반 개인화검색 서비스 모형을 제안하였다. 개인화 검색 서비스 모형은 이용자의 관심 주제를 파악하는 과정과 이를, 반영한 검색 결과 재순위화 및 관련 주제 카테고리와 질의어 추천 과정으로 구성된다. 개인화 검색 모형의 유용성을 검증하기 위한 실험에서는 포털 사이트 다음에서 12일간 수집한 이용자 로그 데이터를 사용하였다. 실험 결과 개별 이용자의 주제 카테고리 선정에 사용한 카페 활동성 분석과 신지식 활동성 분석 데이터는 매우 유용한 것으로 나타났으며, 개인화 검색 결과와 추천서비스에 대한 만족도도 비교적 높게 나타났다.

지식포탈을 위한 개인화 지식 제공 방안 (Personalized Information Delivery Methods for Knowledge Portals)

  • 이홍주;김종우;김광래;안형준;권철현;박성주
    • Journal of Information Technology Applications and Management
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    • 제12권4호
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    • pp.45-57
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    • 2005
  • In order to provide personalized knowledge recommendation services, most web portals for organizational knowledge management use category or keyword information that portal users explicitly express interests in. However, it is usually difficult to collect correct preference data for all users with this approach, and, moreover, users' preferences may easily change over time, which results In outdated user profiles and impaired recommendation qualify. In order to address this problem, this paper suggests knowledge recommendation methods for portals using user profiles that are automatically constructed from users' activities such as posting or uploading of articles and documents. The result of our experiment shows that the Proposed method can provide equivalent performance with the manual category or keyword selection method.

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Optimizing User Experience While Interacting with IR Systems in Big Data Environments

  • Minsoo Park
    • International journal of advanced smart convergence
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    • 제12권4호
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    • pp.104-110
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    • 2023
  • In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

인터넷과 스마트폰 환경에서의 개인화된 광고 방법론의 비교 분석 (Comparison of Personalized Ad Methods on the Internet and Smart Phone Platforms)

  • 김준산;이재규
    • Asia pacific journal of information systems
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    • 제22권4호
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    • pp.125-149
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    • 2012
  • As the smart phone is propagating rapidly, the importance of mobile advertisement has also grown. One of the main characteristics of the Internet and smart phone advertising is that they can deliver personalized advertisements to each customer. The smart phone enables the identification of additional personalized information such as the customer's location and the accessibility to the site at any place any time. As the Internet platform becomes richer, firms that offer the ad services via the wired PC Internet and wireless smart phone are seeking various types of personalized ads. However, their service platform and Information and Communication Technology (ICT) platform should be suitable to the characteristics of personalized ads. This research explores various types of personalized ad methods and evaluates their adequacy encompassing four types of ad service platforms (such as search portal, news portal, e-mall servers, and SNS) and two types of ICT platforms (PC Internet and smart phone). To this end, we classified the personalized ads into seven types: three basic types and four composite types. The basic types of ad methods are identified by considering the current activity that the customer is engaged, the individual profile and log history, and the customer's current location or planning location. Four composite types of ad methods are constructed as the combination of these basic types. For those types of ad methods, we evaluate whether each ad method adequately maps with four types of ad service platforms and two types of ICT platforms. We proposed a metric of evaluation and demonstrated the concept with illustrative numbers. Specifically, we analyze and compare personalized ad methods in three ways. Firstly, the possibility of implementing a personalized ad method on the platform is analyzed to confirm the degree of suitability. Secondly, the value of personalized ad method is analyzed based on the customer accessibility. Lastly, expected effectiveness for each personalized ad method is computed by multiplying the possibility and the value. Through this kind of analysis, the ad service providers as well as advertising companies can evaluate what kinds of personalized ad methods and platforms are possible and suitable to maximize their ad effectiveness on the Internet and smart phone platforms.

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VoiceXML 기반 음성인식시스템을 이용한 서비스 개발 (The Interactive Voice Services based on VoiceXML)

  • 김학균;김은향;김재인;구명완
    • 대한음성학회지:말소리
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    • 제43호
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    • pp.113-125
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    • 2002
  • As there are needs to search the Web information via wire or wireless telephones, VoiceXML forum was established to develop and promote the Voice eXtensible Markup Language (VoiceXML). VoiceXML simplifies the creation of personalized interactive voice response services on the Web, and allows voice and phone access to information on Web sites, call center databases. Also, it can utilize the Web-based technologies, such as CGI(Common Gateway Interface) scripts. In this paper, we have developed the voice portal service platform based on VoiceXML called TeleGateway. It enables integration of voice services with data services using the Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) engines. Also, we have showed the various services on voice portal services.

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Enterprise 2.0 기반의 업무맞춤 포털 모델 설계 및 서브모델 구현 (Enterprise 2.0 based Personalized Portal Model and its Sub-model Implementation)

  • 송상섭;김선미
    • 한국IT서비스학회:학술대회논문집
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    • 한국IT서비스학회 2009년도 춘계학술대회
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    • pp.376-379
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    • 2009
  • 본 논문에서는 연구기관의 포털 사례를 분석하고 지식근로자의 업무처리에 적합한 Enterprise 2.0 기반의 업무맞춤 포털모델을 제안하였다. 그리고 자신의 업무에 정렬된 정보 서비스를 선택, 배치 및 One-Click으로 사용할 수 있는 서브모델을 개발하였다. 현재는 사용자들로부터 사용경험을 수집하는 단계에 있으나 사용경험이 누적되면 제안 모델의 효용성을 분석하고 부족한 점은 보완하여 향후에는 보다 완전한 모델을 제시할 수 있을 것이다.

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E-Commerce 포탈에서 향상된 개인화 추천 기법 (An Improved Personalized Recommendation Technique for E-Commerce Portal)

  • 고평관;;김영국;강상길
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제14권9호
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    • pp.835-840
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    • 2008
  • 본 논문에서는 고객의 다양한 행동 분석을 통해 e-commerce 포탈에서 향상된 개인화 기법을 제안한다. 고객의 행동은 "상품 구매" '장바구니에 상품 추가", "상품 정보 확인" 세가지로 구분하였다. 추천된 상품에 대한 평점을 측정하기 위해 사용자의 행동을 암묵적으로 추적한다. 제안하는 추천 기법은 Cross Correlation Coefficient를 변형하여 비슷한 선호도를 가진 고객들을 분류한 후 대상 고객이 선호하는 상품과 비슷한 선호도를 가진 고객들의 상품 유사도를 측정한다. 본 시스템의 가장 주목할만한 특징은 고객의 행동을 바탕으로 상품에 대한 평점을 암묵적으로 계산하는 것이다. 상품의 선호도에 대하여 고객의 직접적인 대답을 요구하면 고객들이 불편함을 느낄 수 있기 때문에 고객의 행동을 통하여 상품에 대한 선호도를 반영한다. 실험결과 부분에서 우리의 시스템과 협업 필터링을 기반으로 한 다른 기법의 비교를 통하여 각 기법들의 장단점을 보일 것이다.