• Journal of the Korean Society for information Management
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• v.36 no.3
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• pp.203-228
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• 2019

This study developed KISTI CLCM, a curation model suitable for the content life cycle, focusing on the KISTI Content Curation Center. For developing the KISTI Curation Model, the previously developed models DCC, DCC&U, UC3 and DCN models were reviewed and the advantages of the models connected to the mission and tasks of the digital curation center were derived. Interviews with staffs of the KISTI Content Curation Center identified the characteristics of the content and identified the level of achievement of the current task. In addition, this study proposed to enhance usability by developing KISTI content curation waves based on the UC3 model to discover user-centered services and add new values to digital resources.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.25-26
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• 2019

소셜 미디어(social media)가 급속히 발달하고 대중화되면서, 뮤지엄(museum)의 관람객은 시 공간의 제약 없이 뮤지엄의 콘텐츠를 향유하는 동시에, 전통적인 관람객의 역할을 넘어 매개자(mediator), 프로슈머(prosumer), 그리고 크리에이터(creator)로 활동하고 있다. 또한, 뮤지엄도 고유의 업무 수행에 다수 관람객의 참여를 유도하며 관람객과 적극적으로 소통하고 있다. 이러한 흐름 속에, 이화여자대학교박물관에서는 소셜 미디어를 기반으로 사전 설문조사를 진행하여 작품에 대한 설문 참여자의 반응을 수집한 후 이를 바탕으로 큐레이션에 대중의 선호도를 반영하는 '관람객 참여전시'를 개최하였다. 더 나아가 알고리즘 기반 전시 큐레이션 모델도 개발하였는데, 이 모델은 앞의 관람객 참여전시에서 얻은 데이터를 활용하여 컴퓨터가 일반 관람객의 개인적 취향에 부합하는 작품을 자동으로 추천하고, 이를 바탕으로 개별 관람객에게 '개인적으로 최적화된' 전시를 구성할 수 있는 기반을 제공한다. 본 논문은 이러한 이화여자대학교박물관의 최신 전시활동을 소개하며, 초연결, 초지능화의 시대에 관람객들이 뮤지엄에 다양하게 참여하고 함께 소통할 수 있는 방법을 모색하고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.421-422
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• 2017

콘텐츠 큐레이션 서비스를 위해서 대용량 데이터를 학습하는 과정에서 발생하는 메모리부족 문제, 학습소요시간 문제 등을 해결하기 위한 "대용량 문서학습을 위한 동적학습 파이프라인 생성기술 중 빅데이터 마이닝을 위한 점진적 학습 모델" 기술이 필요하며, 본 논문에서 제안한 콘텐츠 큐레이션 서비스는 온라인상의 수많은 콘텐츠들 중 개인의 주관이나 관점에 따라 관련 콘텐츠들을 수집, 정리하고 편집하여 이용자와 관련이 있거나 좋아할 만한 콘텐츠를 제공하는 서비스이다. 큐레이션 서비스에서는 개인비서, 금융 분야의 투자, 자율주행, 저널리즘, 효율적인 업무 지시/감독, 제조업의 자동화 공정, 교육, 콘텐츠 유통, 학술정보 등에서 컴퓨터가 방대한 양의 데이터로 부터 학습하여 사람의 일을 대신 처리하거나 의사결정에 도움을 줌으로써 업무의 효율을 높여주는 서비스 산업에 활용이 가능하다.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.401-402
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• 2018

콘텐츠 큐레이션 서비스를 위해서 대용량 데이터를 학습하는 과정에서 발생하는 메모리부족 문제, 학습소요시간 문제 등을 해결하기 위한 "대용량 문서학습을 위한 동적학습 파이프라인 생성기술 중 빅데이터 마이닝을 위한 점진적 학습 모델" 기술이 필요하며, 본 논문에서 제안한 콘텐츠 큐레이션 서비스는 온라인상의 수많은 콘텐츠들 중 개인의 주관이나 관점에 따라 관련 콘텐츠들을 수집, 정리하고 편집하여 이용자와 관련이 있거나 좋아할 만한 콘텐츠를 제공하는 서비스이다. 본 논문에서 설계된 모아 큐레이션 서비스는 대용량의 문서를 학습함에 있어서 메모리 부족 문제, 학습 소요시간 문제 등을 해결하기 위해 학습데이터의 용량 제한이 없는 문서를 자유롭게 학습하고 부분적인 자질추가/변경 시에 변경요소만을 추가 반영할 수 있는 범용적이고 일반적인 분류기의 구조설계 방법 등을 제시하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.1-6
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• 2014

This paper proposes a mobile content curation service to collect various online/offline publications. The company publishes one-time topic information to a broker server in advance and customer curates topic information on a mobile device by requesting it. The main characteristics of the proposed service are: it is based on request/response model rather than existing publish/subscribe model, can easily specify topic information by input string without QR code or audio recognition, and retrieves all of topic information anywhere anytime by storing it on mobile device. This service can be used for second screen campaign for TV and various online/offline events.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.117-123
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• 2012

Smart devices are great tool to get a lot of information of user by variety sensors, application, web. The information is good clue to seize pattern of user. So, we can expect that customized content-service will be possible based on utilizing information of user. This expectation alters the type of content-service from just providing lots of contents to smart devices to recommendation contents which wanted, needed, favorite looking by user. For this customized content-service, a system model like a curator in galleries or museums is required. So, in this paper, we suggest Intelligent Contents Curation(ICCuration) model which has 3 sub modules with sensing, analysis and filtering information of user. The collected information of user are processed up to scenarios and the scenario is a clue for selecting contents which will be recommended to users. In the scenario has user's preferences and behaviors as well as devices informations as elements. So, contents can be optimized not only domain category but type of media for devices.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.265-274
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• 2021

This study empirically analyzed the users' experiences with the Netflix thumbnail curation based on the Technology Acceptance Model(TAM). According to the correlation analysis results, the higher the dependence on the thumbnails, the higher the satisfaction with the thumbnail curation. Both Perceived Informational Usefulness(PIU) and Perceived Ease of Use(PEOU) had correlations with the degree of satisfaction with the thumbnail curation. In particular, the factors of relevance in PEOU had the greatest impact on the degree of satisfaction and this result proved that the suitability factors of the thumbnails had significant correlations with the degree of satisfaction. The degree of satisfaction with the thumbnail curation also positively correlated with Netflix's overall degree of satisfaction and behavioral intention to use the Netflix. This study demonstrated the suitability of the TAM as a UX evaluation tool for the Netflix thumbnail curation.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.3
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• pp.235-256
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• 2016

This study suggested a digital curation framework for supporting the digital policy of institutes that collect memory. As such, it conducted a literature review and an analysis of digital curation models, as well as a focus-group interview of historians and graduate students majoring in historical studies. In this study, digital curation framework refers to an abstract model for supporting policy development and the planning for a high-level view of the archival information service. This implications of this framework are as follows: (1) to emphasize the data life cycle and connection between stages and actions; (2) to make an infra-schema for understanding institutes that create, arrange, or store specific data as the same history contents have to be provided by different institutes and as there are differences in the data's value; (3) to check the present conditions of information services and their systems; (4) to consider the practical applications of contents that have been collected and stored; and (5) to converge all data in one system through the framework and activate diverse works in the context of the framework.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.852-853
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• 2016

In this paper, we propose a profile design of customized sports content curation system for activating daily sports. The proposed profile is a system that recommends sports convergence contents in everyday life tailored to the characteristics of profile in terms of the individual and team. Especially, the proposed profile is designed as the static profile that is changed depending on the user's feedback. The proposed design of profile design are to improve the happiness and health of individuals, it is expected to contribute the new service model development of in the field of Sport for All.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.217-225
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• 2021

This study aimed to provide implications required to establish a content strategy by examining the influencing factors affecting the acceptance of curation services for 320 OTT users, and the main results are as follows. First, innovativeness was found to have a positive effect on performance expectations. Second, innovativeness was found to have a positive impact on the effort expectation. Third, performance expectation had a positive effect on the intention to use continuously. Fourth, it was shown that the effort expectation had a positive effect on the intention to use continuously. Fifth, social influence was found to have no significant effect on the intention to use continuously. Sixth, it was found that the facilitating conditions did not significantly affect the intention to use continuously. The above results can be assessed as the higher the OTT users perceive the performance and effort expectations of the curation service, the higher their intention to continue using them. This study is meaningful in that it verified the factors affecting the intention to use the OTT curation service and expanded the UTAUT model.