• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.175-183
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• 2021

As concerns about users' privacy infringement on Online Behavioral Advertising(OBA) increase, regulators are taking measures such as drawing up guidelines for OBAs, and websites provide OBA guidance in compliance with such guidelines. As a result of reviewing the status of providing OBA guidance on websites, access to OBA guidance pages was rather complicated. In order to analyze the issue from the UI/UX perspective, following the "Guidelines for Privacy in Online Behavioral Advertising" applied to all types of OBA transmitted on websites, this study aims to structuralize a navigation of page movement from two starting points, 1) Main Page, 2) The page where OBA is delivered, to OBA guidance pages. Also, with understanding the problems found in the access and navigation of OBA guidance pages by analyzing features found during the page navigation, such as hyperlinks containing keywords, and movement pages.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.376-388
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• 2019

One important online marketing practice to emerge in recent years is online behavioral advertising. Online behavioral advertising entails a range of issues, including the following: personal information collection and usage agreements (three conditions: no agreement, agreement, or agreement with a reward), consumers' levels of perceived personalization (low vs. high), and consumers' level of online privacy concerns (low vs. high). The effects of all these is what this study is designed to examine, as it evaluates online behavioral advertising. Study findings suggest that types of information collection and usage agreement play a pivotal role in the evaluation of online behavioral ads. Individuals who provided the informed consent form with the possible reward had a more favorable attitude toward the brand than individuals who provided the informed consent form without a possible reward. In terms of personalization, the level of perceived personalization of the advertising message impacted consumers' attitudes toward the online behavioral ad and toward the brand. Finally, online privacy concerns appear to impact consumers' attitudes toward the online behavioral ad and toward the brand. Theoretical and practical implications are also discussed.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.105-114
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• 2015

This study aims 1) to identify distinctive consumer groups according to their perception of benefits and costs of Online Behavioral Advertising(OBA), 2) to explore differences among them, and 3) to investigate antecedent variables that affect the consumers' perception of OBA. Online survey data collected from 1,000 online users. The findings of this study are as follows. First, the result of cluster analysis identified four distinctive consumer groups according to the levels of perceived benefits and costs of OBA: 'Indifferent group', 'cost-centered group', 'benefit-centered group', and 'Benefit-cost balanced group'. Second, four consumer groups showed differences in their demographics, advertising related variables, privacy related variables, and technology related variables. Third, according to multinomial logistic analysis, it was found that there were different factors affecting consumers' perception of benefits and costs of OBA.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.155-174
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• 2012

As Online Behavioral Advertising is dramatically growing with usefulness of information and user convenience in recent years, there are privacy issues caused by collecting user's behavioral information without their consent. To tackle the problem, the need of Do Not Track regulations is getting much higher. In Korea, however, it has never existed. So, this study is examining the case of the major countries have been enforcing the law and regulations of DNT. After that, it is classified with four domain (law/regulation, corporation, individual, society) to include all stakeholders of OBA. Furthermore, this study may have academic significance by suggesting DNT framework through analysis of them. Providing DNT mechanism consisted of three type (behavioral information, control, DNT system), it can be useful guidelines for companies to support decision making as introduced DNT. As analyzed between DNT and stakeholders based on the study of OBA market, it will be useful basic material of OBA study later.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.949-952
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• 2009

2007 IPTV joining furniture according to passing over 100 households, with the fact that IPTV markets will more be magnified in future. Also the enormous brazier being caused by IPTV commercial markets of IPTV markets are prospective 2015 with the fact that will reach to 850,000,000,000 won, advertisement central medium means IPTV advertisement or web coat online advertizing is center from TV advertisements. Currently compares TV advertisements and IPTV advertisements from the present paper consequently and according to the user who uses the contents the elder brother IPTV advertisement fixing is a service and the agent for plans.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.492-497
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• 2019

This study analysed the legal concept of personal information(PI), which was not differentiated from behavioral information, and established it clearly for invigorating online targeted advertising(OTA), which draw attention in big data era; by selecting Guidelines of Assessment of Data Breach Incident Factors and Guidelines of Measures for No-Identifying Personal Information based on Personal Information Protection Act(PIPA) and Enforcement Decree of the PIPA. As a result, PI was defined as any kind of information relating to (1)a living individual(not group, corporate body or things etc.); (2)makes possibly identify the individual by his or her identifiers such as name, resident registration number, image, etc. (not included if not identify the individual); and (3)including information like attribute values which makes possibly identify any specific individual, if not by itself, but combined with other information which can be actually collected and combined). Specifically, PI includes basic, proper distinguishable, sensitive and other PI. It is suggested that PI concept should be researched continually with digital technology development; the effectiveness of the Guidelines of PI Protection in OTA, the legal principles of PI protection from not only users' but business operators' perspectives and the differentiation between PI and behavioral information in OTA should be researched.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.1-10
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• 2020

The performance of the personalized product recommendation system for offline shopping malls is poor compared with the one using online environment information since it is difficult to obtain visitors' characteristic information. In this paper, a mobile robot platform is suggested capable of recommending personalized advertisement using customers' sex and age information provided by Face API of MS Azure Cloud service. The performance of the developed robot is verified through locomotion experiments, and the performance of API used for our robot is tested using sampled images from open Asian FAce Dataset (AFAD). The developed robot could be effective in marketing by providing personalized advertisements at offline shopping malls.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.1
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• pp.50-55
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• 2011

In this paper, we propose and demonstrate an effective video advertising method for on-line shopping malls. For the Internet advertising, we make a mouse with a small OLED display that can communicate with PC's Internet network. Without displaying the teasing Pop-ups on the PC's monitor, the advertising for a shopping mall is directly sent to the OLED display on the mouse. Also, the proposed method has merits of sending the advertising based on customer's preference by using IP multicasting, which the customer can select an advertising category in advance. When the customer want to buy an item on the OLED display, the detail advertising can be immediately accessed through a Web browser on PC's monitor by pushing a special button on the mouse.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.368-369
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• 2023

대화 데이터 기반 광고 추천은 광고 마케팅에서 고객 맞춤형 광고 제공, 마케팅 효과 극대화 등을 위한 중요한 기술로 주목받고 있다. 본 논문에서는 모바일 인스턴스 메신저인 카카오톡 대화창에서 발생한 텍스트 데이터를 기반으로 대화 내용을 분석하여 대화 주제별 적절한 광고 키워드를 제안한다. 이를 위해 주제별 대화 내용을 미용, 식음료, 상거래로 세분하고 KoNLPy 의 Okt 를 이용하여 텍스트 전처리를 수행하고 키워드별로 빈도수를 뽑아 워드 클라우드를 제시한다. 또한, 잠재 디리클레 할당(Latent Dirichlet Allocation, LDA)을 기반으로 대화 주제를 세분화한 뒤 라벨링을 통해 주제별 대화 키워드를 분석한다. 실험 결과, 대화 주제를 온라인 쇼핑, 헤어, 뷰티 관리, 음식으로 나눌 수 있었으며, 토픽별 상위 키워드를 Word2Vec 을 통해 특정 단어와 유사한 키워드를 도출하여 적절한 광고 키워드를 제시할 수 있었다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.6-8
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• 2018

인터넷과 스트리밍 기술의 발달로 온라인 방송서비스가 출연하면서 디지털 온라인 콘텐츠 서비스 사업은 기존 오프라인 방송인 지상파 케이블 위성 IPTV 방송에 콘텐츠 제작과 수익면에서 상당한 영향을 미치고 있다. 지금까지 보편적 대중에 전달하던 일반적인 콘텐츠 제작 및 보급이 전통적 방송의 역할이었던 반면, 디지털 온라인 방송은 특정한 분야별 그룹과 연령별 그룹에 맞춤형 콘텐츠를 제작하고 이를 방송하면서 개성있는 ?춤형 방송을 진행하며 레가시 미디어(legacy media)를 위협하고 있는 것이 현실이다. 이제 기존의 방송국들은 더 이상 전통적 방송 제작의 특성을 고수하기 어렵게 되었고 새로운 미디어 세계에서 살아남기 위해 디지털 온라인과 오프라인의 경계를 허물고 융합해야 하는 것이다. 왜냐하면 기존 방송국들은 TV플랫폼만 의존하던 시청자들이 온라인 채널로 이동으로 시청률 하락과 광고 및 부가서비스 수입의 위축으로 경영의 어려움이 현실화 되고 있기 ?문이다. 본 논문은 디지털 온라인 방송환경이 기존의 오프라인 방송국에 미치는 영향을 분석하고 기존 방송국의 위기를 타개하기 위한 대응전략을 연구하였다.