• Title/Summary/Keyword: online information system

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Analysis of Innovation Patterns of Korean Online Game Industry (한국 온라인게임 산업의 서비스 혁신패턴 분석)

  • Nam, Young-Ho
    • Journal of Information Technology Applications and Management
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    • v.15 no.1
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    • pp.117-137
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    • 2008
  • Using the service innovation system model, the development of Korean online game industry is analyzed. The model proposed by Gallouj (2002) is modified in order to reflect IT service characteristics such as network externalities. Success factors and innovations patterns of Korean online game industry are examined. First, at the early stage of her growth, Korean online game industry was not supported or coordinated by any Government policies unlike DRAM, CDMA or TFT-LCD. Many parts of technical and service innovations were unintentionally initiated by online game developing ventures without predeterminde strategies. Second, the online game industry is basically a service industry so that users' needs and technical and service characteristics are intertwined to produce innovation. The innovation system of the online game industry is quite different from conventional product technological innovation systems in a sense that there are no blueprints for innovation as well as major players in the system. Third, Government's policies for promotion of IT industry such as the broadband infrastructure installation policy, the hi-tech venture promotion policy and the military exemption policy contributed greatly to development of the online game industry. However, these policy tools were not intended for online game industry but in the end gave a great impact on the service innovation system of the online game industry.

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Improving the Product Recommendation System based-on Customer Interest for Online Shopping Using Deep Reinforcement Learning

  • Shahbazi, Zeinab;Byun, Yung-Cheol
    • Soft Computing and Machine Intelligence
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    • v.1 no.1
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    • pp.31-35
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    • 2021
  • In recent years, due to COVID-19, the process of shopping has become more restricted and difficult for customers. Based on this aspect, customers are more interested in online shopping to keep the Untact rules and stay safe, similarly ordering their product based on their need and interest with most straightforward and fastest ways. In this paper, the reinforcement learning technique is applied in the product recommendation system to improve the recommendation system quality for better and more related suggestions based on click patterns and users' profile information. The dataset used in this system was taken from an online shopping mall in Jeju island, South Korea. We have compared the proposed method with the recent state-of-the-art and research results, which show that reinforcement learning effectiveness is higher than other approaches.

An Introduction and Developing guide to the Online Submission and Peer Review System (학술논문투고관리 시스템의 소개 및 발전 방향)

  • Lee, Tae Bong;Kim, Min-Nyun
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.55-60
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    • 2012
  • In this paper, introduction and developing guide to the online submission and peer review system is studied. Such system must provides fare and fast review of drafted papers. In addition, the publication of accepted papers by reviewers is quick and easy. Today, Some societies use KISTI-ACOM which is supplied freely by KISTI(Korea Institute of Science and Technology Information) and some other societies develop and use their own system in Korea. It is sure that each system will be improved and developed further. Based on the consideration about a typical peer review and publication in online submission system, the guideline of online submission and peer review system is suggested in this paper.

Informal Information Seeking Behavior of Online Students (온라인 학생의 비공식 정보 추구 행태)

  • Kim, Sung-Un
    • Journal of the Korean Society for information Management
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    • v.23 no.2
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    • pp.207-227
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    • 2006
  • This study aims to examine online students' informal information seeking behavior during their loaming process and online loaming environments to support their informal information needs. The participants of the study were 29 online students in the Professional Development Studies of Rutgers University. Data was collected by the questionnaire and was analyzed with content analysis and descriptive statistics. This study focuses on when and why online students need human interaction to solve their learning problems and how they communicate with others to meet their informal information needs. Moreover, how online students think about their personal communication opportunities and the functions of their online learning system to support their loaming problems is also examined. Finally, online students suggest the ways to effectively support personal communication needed during learning process in online teaming systems. Based on the findings of this study, a few considerations are suggested in conclusions.

Audit Method for Personal Information Protection in On-line Games (온라인게임에서 개인정보보호 감리 모형)

  • Kim, Hee-Wan;Shin, Joong-Won;Kim, Dong-Soo
    • Journal of Digital Convergence
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    • v.10 no.3
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    • pp.23-37
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    • 2012
  • Illegal game players' hacking and propagation of malignant code in online game exposes privacy of online game customers. So, online game companies have to support the standardized systems and operations of customers' privacies. Since online game companies implement authentication of information protection, which focuses on assets or physical, systemic security, they need a more professional system that is related to protection of individual privacy. We analyzed the individual information protection system, which includes ISO27001, ISMS of KISA, GMITS, ePrivacy, online game privacy protection guide, and BS10012. Using the suggested systems, we proposed the systemic tools that measure the level of individual information protection, which includes process and check items of each phase.

Project Performance Creation Mechanism through Online Collaboration System : Focusing on Individual, Relational, and System Characteristics (온라인 협업 시스템을 통한 프로젝트 성과 창출 메커니즘 연구 : 개인특성, 관계특성, 시스템특성을 중심으로)

  • Park, Junyoung;Seo, Bong-Goon;Park, Do-Hyung
    • Journal of Information Technology Applications and Management
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    • v.25 no.1
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    • pp.47-66
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    • 2018
  • The development of IT is transforming from the way it has been working face-to-face in performing projects to the online collaboration method using web-based tools. Therefore, various online collaboration tools are being developed and commercialized, including 'Google Docs', which is called the online office. Using these online collaboration tools, users can share documents with other users and collaborate in real time. Therefore, in recent years, companies and educational institutions have been using online collaboration tools to carry out tasks and projects that require collaboration. Various factors can affect the project performance satisfaction through online collaboration tools. In this regard, it is necessary to confirm the factors affecting the satisfaction of the project performance. However, there is not enough empirical research on the satisfaction of the performance through the online collaboration tool. Therefore, this study will investigate the mechanism of project performance satisfaction through online collaboration tool considering the Individual characteristics of the project performing subject, the relationship characteristics between the project members, and the system characteristics of the collaboration tool.

A Blockchain Copyright Information Registration System for Content Protection of Online Sharing Platforms (온라인 공유 플랫폼용 콘텐츠 보호를 위한 블록체인 저작권 정보 등록 시스템)

  • Kim, Minyoung;Lee, Hyoun-Sub;Kim, Jin-Deog
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1718-1721
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    • 2020
  • This paper proposes a method to protect the copyright of creators' content shared through an online sharing platform in a legal battle. When creators upload their independent creation content to the online sharing platform, it automatically upload information necessary for copyright effect to this system. The data warehouse of this system is as a private blockchain for to ensure non-repudiation and transparency of the information. We present that the data warehouse is to build as Hyperledger Fabric in this paper. And We present the transaction data structure of the blockchain to prevent orphan works. We also dealt with how to build a website where users can conveniently check the data (copyright related information) of this blockchain.

A Study on the PCA base Face Authentication System for Untact Work (비대면(Untact) 업무를 위한 화상인식 PCA 사용자 인증 시스템 연구)

  • Park, jongsoon;Park, chankil
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.4
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    • pp.67-74
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    • 2020
  • As the information age develops, Online education and Non-face-to-face work are becoming common. Telecommuting such as tele-education and video conferencing through the application of information technology is also becoming common due to the COVID-19. Unexpected information leakage can occur online when the company conducts work remotely or holds meetings. A system to authenticate users is needed to reduce information leakage. In this study, there are various ways to authenticate remote access users. By applying burn authentication using a biometric system, a method to identify users is proposed. The method used in the study was studied the main component analysis method, which recognizes several characteristics in facial recognition and processes interrelationships. It proposed a method that can be easily utilized without additional devices by utilizing a camera connected to a computer by authenticating the user using the shape and characteristics of the face by using the PCA method.

Detection of Political Manipulation through Unsupervised Learning

  • Lee, Sihyung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.1825-1844
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    • 2019
  • Political campaigns circulate manipulative opinions in online communities to implant false beliefs and eventually win elections. Not only is this type of manipulation unfair, it also has long-lasting negative impacts on people's lives. Existing tools detect political manipulation based on a supervised classifier, which is accurate when trained with large labeled data. However, preparing this data becomes an excessive burden and must be repeated often to reflect changing manipulation tactics. We propose a practical detection system that requires moderate groundwork to achieve a sufficient level of accuracy. The proposed system groups opinions with similar properties into clusters, and then labels a few opinions from each cluster to build a classifier. It also models each opinion with features deduced from raw data with no additional processing. To validate the system, we collected over a million opinions during three nation-wide campaigns in South Korea. The system reduced groundwork from 200K to nearly 200 labeling tasks, and correctly identified over 90% of manipulative opinions. The system also effectively identified transitions in manipulative tactics over time. We suggest that online communities perform periodic audits using the proposed system to highlight manipulative opinions and emerging tactics.