• Journal of Korea Multimedia Society
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• v.9 no.10
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• pp.1332-1343
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• 2006

This paper proposes an educational community service system that manages information of good quality intensively without overlapping, and that provides an effective searching function by using a personal community with many user layers. This system raises the efficiency of searching and management by using Metadata and Category. It is a self-leading educational community system that brings merits into relief and improves weak points. We constructed an autogenous Blog chain service as a tool which verifies this system, which is called 'EduLOG(Educational Blog) service' Especially we extracted Metadata suitable for this service, which is on the basis of worldfamous Dublin Core Metadata. And we made a new category on the basis of categories which were proposed by some educational community sites and public educational authorities, and we applied it to this system. To ascertain whether this service system provide adequate function or not, we made a questionnaire on the basis of the appraisal table in websites, and evaluated it at the request of experts. In view of the results so far achieved, it returned good scores (above 3.5/5.0) in accuracy of evaluation, low-end reappearance ratio, easiness of registering and approaching information, and intensive management of a categorical information, confirming the efficiency of the ECSS system. Therefore we believe firmly that the ECSS system will play a efficient information storing and searching roles in the near future.

• Journal of the HCI Society of Korea
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• v.5 no.1
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• pp.37-43
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• 2010

Twitter has been continuously growing since October, 2006. Especially, not only the users and the number of messages have been increasing but also a new concept in social networking called 'micro blogging' has diffused. Within Korea, service such as 'me2day' has already been introduced and the improvement of internet accessibility within mobile devices is expected to expand the 'micro blogs'. In this point, this research is executed to study the new medium, 'micro blog'. To do so, we collected and analyzed Twitter logs of Korean users. Especially, we were curious about the extreme heavy users using Twitter, despite of the linguistic and cultural barrier of the foreign service. Who they are, why and how they use the 'micro blog'. First, we reviewed the general aspect of followers and messages by collecting a certain number of random samples. Using the Lorenz curve we found out that there was the imbalance within the users and based on this phenomenon we deducted an extreme heavy user group. In order to perform further analysis, log analysis was performed on the extreme heavy users. As the result, the users used multiple mobile and desktop 'Twitter' clients. The usage pattern was similar to that of internet usage time but was used during their "micro" time. The users using 'Twitter' not only to spread messages about important information, special events and emotions, but also as a habitual 'chatting tool' to express ordinary personal chats similar to SMS and IM services. In this research, it is proved that 68% of the total messages were ordinary personal chats. Also, with 24% of the total messages were retweets, we were able to find out that virtually connected 'people' and 'relationships' acted as the dominant trigger of their articulation.

• Korean Journal of Remote Sensing
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• v.23 no.2
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• pp.125-130
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• 2007

This paper introduce a satellite image based blog system built by JeonNam local province. Main goals of this system are as follows : (1)Overcome the static aspect of traditional Web-GIS, (2)Providing a geoUCC generating platform by combining multimedia technology and GIS in a single web environment, (3)Building a two-way Web-GIS through user's participation, (4)Creating a new communicative way between government and citizen by using this system. As a result of the system building, this system enables users to create his/her own UCC(User Created Contents) on high-resolution satellite image and enables users to share his/her own UCC with other system using Web2.0 technology.

• 한국노년학
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• v.36 no.3
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• pp.711-726
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• 2016

The purpose of this study was to analyze to 1) the differences according to demographic characteristics 2) select the type-specific communities online channels of the baby boomer customers group, who ever search for restaurant information through on-line for the previous three months. The study was based on a total of 280 samples obtained from on-line networking service users in a metropolitan area from April 15 to 30, 2016. The major findings are as follows. The data were analysed using frequency, factor analysis, cluster analysis and ${\chi}^2test$. According to the results of factor analysis, on-line utilizing attributes were separated into three factors: commitment of useful information, activity of leading on-line, and habit. The based on a factor analysis, cluster analysis was adopted to segment baby boomer customers. The identified four clusters showed in using on-line: type of active utilization, habit, seeking information and passive utilization. The clusters had significant differences in gender and monthly income by demographics. All of four clusters selected blog, face book, twitter in turn through the personal on-line channels. Cluster type of active utilization and habit selected restaurant home pages, restaurant blog, restaurant face book, restaurant twitter in turn through the public on-line channels. Cluster type of seeking information and passively utilization selected restaurant home pages, restaurant blog, restaurant twitter, restaurant face book in turn through the public on-line channels. Implications and future research were also discussed.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.1-12
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• 2024

In this paper, we fine-tuned KoAlpaca, a large-scale Korean language model, and implemented a blog text generation system utilizing it. Blogs on social media platforms are widely used as a marketing tool for businesses. We constructed training data of positive reviews through emotion analysis and refinement of collected sponsored blog texts and applied QLoRA for the lightweight training of KoAlpaca. QLoRA is a fine-tuning approach that significantly reduces the memory usage required for training, with experiments in an environment with a parameter size of 12.8B showing up to a 58.8% decrease in memory usage compared to LoRA. To evaluate the generative performance of the fine-tuned model, texts generated from 100 inputs not included in the training data produced on average more than twice the number of words compared to the pre-trained model, with texts of positive sentiment also appearing more than twice as often. In a survey conducted for qualitative evaluation of generative performance, responses indicated that the fine-tuned model's generated outputs were more relevant to the given topics on average 77.5% of the time. This demonstrates that the positive review generation language model for sponsored content in this paper can enhance the efficiency of time management for content creation and ensure consistent marketing effects. However, to reduce the generation of content that deviates from the category of positive reviews due to elements of the pre-trained model, we plan to proceed with fine-tuning using the augmentation of training data.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.3
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• pp.89-102
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• 2024

This study aims to examine the characteristics of the user experience of New Town neighborhood parks and explore issues that diversify the experience of the parks. In order to quantitatively analyze a large amount of park visitors' experiences, text-based Naver blog reviews were collected and analyzed. Among the Phase 1 and 2 New Towns, the parks with the highest user experience postings were selected for each city as the target of analysis. Blog text data was collected from May 20, 2003, to May 31, 2022, and analysis was conducted targeting Ilsan Lake Park, Bundang Yuldong Park, Gwanggyo Lake Park, and Dongtan Lake Park. The findings revealed that all four parks were used for everyday relaxation and recreation. Second, the analysis underscores park's diverse user groups. Third, the programs for parks nearby were also related to park usage. Fourth, the words within the top 20 rankings represented distinctive park elements or content/programs specific to each park. Lastly, the results of the network analysis delineated four overarching types of park users and the networks of four park user types appeared differently depending on the park. This study provides two implications. First, in addition to the naturalistic characteristics, the differentiation of each park's unique facilities and programs greatly improves public awareness and enriches the individual park experience. Second, if analysis of the context surrounding the park based on spatial information is performed in addition to text analysis, the accuracy of interpretation of text data analysis results could be improved. The results of this study can be used in the planning and designing of parks and greenspaces in the Phase 3 New Towns currently in progress.

• Proceedings of the Korean Society for Information Management Conference
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• 2006.08a
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• pp.231-231
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• 2006

본 연구에서는 인터넷에 새롭게 등장한 블로그 서비스를 정보검색 관점에서 살펴보았다. 현재 블로그는 사용자 개인의 기록 및 커뮤니티 활동의 결과물일 뿐 아니라 1인 미디어로서 광범위한 정보전달 및 정보 제공기능을 하고 있다. 이러한 상황에서 블로그의 정보 라이프 사이클 및 블로그 정보검색에 대해 살펴보고, 국내의 대표적인 검색포털인 네이버 블로그를 중심으로 정보공유 및 검색을 지원하는 카테고리와 태그를 분석하였다. 이는 인터넷 정보검색의 중요한 정보원으로서 블로그의 지식정보 검색을 위한 기초 연구가 될 것이다.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.295-296
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• 2013

중국 대학생의 미니블로그 이용 시, 이용동기에 있어서 두 매체 모두 '정보공유', '자아존재감', '대인커뮤니케이션', '엔터테인먼트' 요인이 나타났으며, 모바일에서는 '유명인 접근성'요인이 추가적으로 나타났다. 충족요인에 있어서 두 매체 모두 '콘텐츠', '사회적 교류', '관계형성' 요인이 나타났으며, 두 매체의 차이로 PC의 '기능성', '편리성' 요인에 반해, 모바일에서는 '정보공유', '엔터테인먼트'요인이 나타났다.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.398-406
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• 2005

현재 인터넷상의 개인미디어로 각광 받고있는 블로그는 개인의 일상적인 정보라는 기본적 기능에서 사용자에게 빠른 속도로 사용이 전파되기 시작하여 그 영역을 확대해 기업 마케팅 채널의 일환으로 시장에 급격하게 수용되고 있다. 본 연구에서는 문헌연구를 통하여 블로그의 개념을 이론적으로 파악한 후 어떤 기술적인 특징을 가지고 마케팅 분야에 활용되는지를 고찰하였다. 이어서 블로그 본연의 개인적인 공간이라는 영역을 최대한 부각시키면서 블로그 상에서 전자상거래를 구현할 수 있는 논리적인 방안을 제시한 다음, 블로그 기반의 Yard-Sale시스템의 데이터베이스와 구성물(Class)의 설계, 이에 기반한 아키텍쳐의 실제적인 구현과 운영을 수행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.866-867
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• 2010

블로그 이용이 활성화됨에 따라 포스트 랭킹 알고리즘의 필요성이 증가하고 있다. 본 논문에서는 액션의 발생 순서를 이용하여 포스트에 랭킹을 부여하는 방법을 제안한다. 또한, 실제 블로그 데이터를 이용한 실험을 통하여 본 논문에서 제안하는 방법의 성능의 우수성을 보인다.