• Title/Summary/Keyword: Internet blog

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A Splog Detection System Using Support Vector Systems (지지벡터기계를 이용한 스팸 블로그(Splog) 판별 시스템)

  • Lee, Song-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.1
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    • pp.163-168
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    • 2011
  • Blogs are an easy way to publish information, engage in discussions, and form communities on the Internet. Recently, there are several varieties of spam blog whose purpose is to host ads or raise the PageRank of target sites. Our purpose is to develope the system which detects these spam blogs (splogs) automatically among blogs on Web environment. After removing HTML of blogs, they are tagged by part of speech(POS) tagger. Words and their POS tags information is used as a feature type. Among features, we select useful features with X2 statistics and train the SVM with the selected features. Our system acquired 90.5% of F1 measure with SPLOG data set.

A Study on Consumer Oriented GIS : GIS 2.0 (GIS 2.0 : 소비자 참여형 GIS에 대한 고찰)

  • Kang, Ho-Seok
    • Spatial Information Research
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    • v.14 no.3 s.38
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    • pp.261-270
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    • 2006
  • With the development and invention of computer and internet, GIS (Geographic Information System) has provided diverse services to users. Web 2.0, the next generation web, has been developed to create a new business by accumulating and structuring information from many users. The characteristics of Web 2.0 are blog, longtail distribution, SNS, DCC, collective intelligence, and so on. This study proposes a GIS 2.0 service model to maximize the introduction effect and use of GIS by the method that two-way communication and the participation of consumer, characteristics of Web 2.0, are used to build more practical GIS rather than providing spatial information in one-way and simple inquiry oriented way.

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TRIB: A Clustering and Visualization System for Responding comments on WebBlog (TRIB: 웹블로그 댓글분류 시각화 시스템)

  • Bae, Min-Jung;Lee, Yun-Jung;Ji, Jeong-Hoon;Woo, Gyun;Cho, Hwan-Gyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.226-229
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    • 2009
  • 최근 들어 인터넷 게시판이나 개인 블로그 등은 온라인상에서 사람들의 정보 공유나 의견 교환의 중요한 매체가 되고 있다. 많은 수의 블로그들은 현재 사회적으로 이슈가 되는 여러 문제들을 반영하고 있다. 또한 최근 댓글을 통해 적극적으로 자신의 의사 표현하거나 다른 사람들의 의견을 살피는 인터넷 사용자의 증가로 인터넷 뉴스나 블로그 기사에 많은 수의 댓글이 달리고 있다. 그러나 대부분의 블로그나 인터넷 포털 사이트의 경우 기사나 댓글들을 순차적인 목록 형태로 제공하므로 자신이 원하는 내용의 댓글을 검색하거나 전체 댓글에 대한 전반적인 파악은 힘든 일이다. 따라서 본 논문에서는 기사에 달린 많은 수의 댓글들을 분류하고, 이를 시각화 하는 시스템인 TRIB(Telescope for Responding comments for Internet Blog)을 제안한다. TRIB은 미리 정의된 사용자 정의 사전을 이용하여 댓글을 내용에 따라 분류하여 시각화 하므로 사용자들은 자신의 관심과 흥미에 따라 개인화 된 뷰를 볼 수 있다. 1,000개 이상의 댓글을 가진 뉴스 기사들을 대상으로 한 실험을 통해 TRIB 시스템의 댓글 분류와 시각화 성능을 보인다.

A Study on Information Exploration Characteristic and Relative Importance Evaluation of Island Tourism Web Site (수산해양관광 관련 웹사이트의 정보탐색 특성과 상대적 중요도 평가에 대한 연구)

  • Lee, Dong-Ho
    • The Journal of Fisheries Business Administration
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    • v.41 no.2
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    • pp.81-106
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    • 2010
  • This study examines the information exploration characteristic and relative importance evaluation of island tourism web site. The survey items are developed based on the related studies and also implemented particular way so-called 'semi-online' that including both web based material and offline tutorial. The first objective of this study is verifying the characteristics of information exploration on island tourism of university students. The second is examining the peculiar properties of tourism information that exposed one's individual importance evaluation. The result of this study shows that most of the students have no difficulty in using the internet and exploring the island tourism information. And there is no significant difference in using and exploring the internet between male and female students. Based on the result of this study, most popular type of island tourism information is picture type. Personal blog or user created contents(UCC) that containing the other's experience of island tourism is mostly wanted contents. But there is a significant difference in importance of contents within the students. The community based information which including UCC, blog, and other community user's posting is evaluated the most important information for relatively less experienced students. On the other hand more experienced students have a preference on expertise information which created by tourism experts. The difference within the determinant factors that affecting island tourism also significant. With analysis of variance(ANOVA) on determinant factors, the tourism activity and social/culture resource are less important than others(eg. natural environment, accommodation and so on). The result of this study would be practically used for implementing the local government's effective tourism web site and enhancing the current island tourism operation. And also it gives a advantage to facilitate the island tourism for young generations.

A Meeting of Euler and Shannon (오일러(Euler)와 샤논(Shannon)의 만남)

  • Lee, Moon-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.1
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    • pp.59-68
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    • 2017
  • The flower and woman are beautiful but Euler's theorem and the symmetry are the best. Shannon applied his theorem to information and communication based on Euler's theorem. His theorem is the root of wireless communication and information theory and the principle of today smart phone. Their meeting point is $e^{-SNR}$ of MIMO(multiple input and multiple output) multiple antenna diversity. In this paper, Euler, who discovered the most beautiful formula($e^{{\pi}i}+1=0$) in the world, briefly guided Shannon's formula ($C=Blog_2(1+{\frac{S}{N}})$) to discover the origin of wireless communication and information communication, and these two masters prove a meeting at the Shannon limit, It reveals something what this secret. And we find that it is symmetry and element-wise inverse are the hidden secret in algebraic coding theory and triangular function.

The structural relationships among Weblog service quality(wb-SERVQUAL), user satisfaction and loyalty (Weblog 서비스 품질(wb-SERVQUAL)과 사용자 만족도, 충성도에 관한 구조적 관계)

  • Kim, Su-Yeon;Yeo, Sang-Pyo;Hwang, Hyun-Seok
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.5
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    • pp.67-77
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    • 2006
  • According to increasing activities in the cyberspace, various on-line services through the Internet have been offered, and many recent studies on the Internet services such as instant messenger, game, and portal site have been performed to evaluate quality of these services. However researches on weblog(blog), a personal online journal for general public consumption, have not been performed much yet. Therefore, we have conducted an empirical study on investigating the structural relationships among weblog service quality, satisfaction and loyalty in this study. After reviewing the related literatures, we have suggested a model for evaluating the service quality of weblog, wb-SERVQUAL(weblog-SERVQUAL), by modifying the conventional SERVQUAL model based on characteristics of weblog. Structural Equation Model(SEM) has been used to analyze the structural relationships among service quality of weblog, user satisfaction and customer loyalty. Managerial implications are also suggested for managing the weblog sites in conclusion.

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Automatic Classification of Advertising Restaurant Blogs Using Machine Learning Techniques (기계학습기법을 이용한 광고 외식 블로그의 자동분류)

  • Chang, Jae-Young;Lee, Byung-Jun;Cho, Se-Jin;Han, Da-Hye;Lee, Kyu-Hong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.55-62
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    • 2016
  • Recently, users choosing a restaurant basedon information provided by blogs are increasing significantly. However, those of most blogs are unreliable since domestic restaurant blogs are occupied by advertising postings written by 'power bloggers'. Thus, in order to ensure the reliability of blogs, it is necessary to filter the advertising blogs which are sometimes false or exaggerated. In this paper, we propose the method of distinguishing the advertising blogs utilizing an automatic classification technique. In the proposed technique, we first manually collected advertising restaurant blogs, and then analyzed features which are commonly found in those blogs. Using the extracted features, we determined whether a given blog is advertising one applying automatic classification algorithms. Additionally, we select the features and the algorithm which guarantee optimal classification performance through comparative experiments.

Development of a Teaching and Learning Model for Educational Usage of Web 2.0 and Its Effect Analysis (웹 2.0의 교육적 활용에 대한교수 학습 모형 개발 및 학습 효과 분석)

  • Kim, Hae-Jung;Choi, Jae-Hyuk
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.10
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    • pp.45-52
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    • 2011
  • Web 2.0 could influence the teaching and learning system significantly due to its characteristics to utilize information using internet in various ways, to create information, and to reorganize it through information sharing. In this new environment of information-oriented classes using the computer, positive education method is required to develop new teaching/learning method based on the internet web 2.0 in order to fulfill the learner's intellectual curiosity and to lead the future-oriented classes. This paper proposed a teaching-learning models in the web 2.0-based internet information education and its effect analysis.

Web 2.0 and Strategic Service Quality Management (Web 2.0와 전략적인 서비스 품질경영)

  • Kim, Gye-Su
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2007.04a
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    • pp.267-272
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    • 2007
  • A business is an organized. profit-seeking activity that provides goods and service designed to satisfy customer' needs. For years, Internet users have been dream of intelligent software agents that automatically prowl the online world and bring back high-quality information. In the era of web2.0, Internet users can communicate each other on open platforms(e-mail, Naver Knowledge-In. Cyworld, Wikipedia, and blog etc.). The author investigate the impact of web2.0 user's perceived value. affective commitment. brand equity on loyalty intention. The results suggest that excellent service quality will be alternative solving in web2.0 business environment.

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Preliminary Research for Korean Twitter User Analysis Focusing on Extreme Heavy User's Twitter Log (국내 트위터 유저 분석을 위한 예비연구 )

  • Jung, Hye-Lan;Ji, Sook-Young;Lee, Joong-Seek
    • 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.

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