• Title/Summary/Keyword: Network Advertising

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Development of a Facebook Fan Pages Analysis System to Improve Public Relations Effect (홍보 효과 증진을 위한 페이스북 팬페이지 분석 시스템 개발)

  • Choi, Minseok
    • Journal of Digital Convergence
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    • v.13 no.12
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    • pp.135-142
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    • 2015
  • Appearance and rapid growth of the social network services (SNS) have led to changes in the distribution structure of information. Consumers can obtain various information quickly via the social network services and companies make use of a new advertising channel in them. In order to increase the effect of publicity activities through the social network services, development and application of public relations strategy by evaluating and analyzing the results of the activities is required. In this paper, a method for developing a low cost system to evaluate and analyze the results of public relations through the social networks is proposed. The proposed method was verified through building and running a demo system to collect and analyze data in the Facebook fan pages using MySQL database and PHP script on a Linux server.

Environmental Consciousness Data Modeling by Association Rules

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.529-538
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    • 2005
  • Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are association rules, decision tree, clustering, neural network and so on. Association rule mining searches for interesting relationships among items in a riven large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We analyze Gyeongnam social indicator survey data using association rule technique for environmental information discovery. We can use to environmental preservation and environmental improvement by association rule outputs.

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Environmental Consciousness Data Modeling by Association Rules

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • 한국데이터정보과학회:학술대회논문집
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    • 2004.10a
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    • pp.115-124
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    • 2004
  • Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are association rules, decision tree, clustering, neural network and so on. Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We analyze Gyeongnam social indicator survey data using association rule technique for environmental information discovery. We can use to environmental preservation and environmental improvement by association rule outputs.

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A Study on Digital Signal Content System for Facility Management (시설 관리용 디지털 신호 컨텐츠 시스템 연구)

  • Park, Kyeongmo;Ahn, Byeong-Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.1030-1032
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    • 2015
  • In this paper, we developed a system that output and service using vairous contents with the inspection and management industry facilities in the operating system based on wireless network. This system can output to the display device at the same time, work management and a variety of content to the inspection facilities. And it outputs received contents of the advertising service provider in real-time. Therefore, this system support real-time facility management and various contents in the building at the same time.

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Association Rule of Gyeongnam Social Indicator Survey Data for Environmental Information

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.1
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    • pp.59-69
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    • 2005
  • Data mining is the method to find useful information for large amounts of data in database It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. We analyze Gyeongnam social indicator survey data by 2001 using association rule technique for environment information. Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We can use to environmental preservation and environmental improvement by association rule outputs

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A Review of Deep Learning Research

  • Mu, Ruihui;Zeng, Xiaoqin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.1738-1764
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    • 2019
  • With the advent of big data, deep learning technology has become an important research direction in the field of machine learning, which has been widely applied in the image processing, natural language processing, speech recognition and online advertising and so on. This paper introduces deep learning techniques from various aspects, including common models of deep learning and their optimization methods, commonly used open source frameworks, existing problems and future research directions. Firstly, we introduce the applications of deep learning; Secondly, we introduce several common models of deep learning and optimization methods; Thirdly, we describe several common frameworks and platforms of deep learning; Finally, we introduce the latest acceleration technology of deep learning and highlight the future work of deep learning.

The Influence of Shoppable Content Readability on Consumer Engagement in Brand Pages

  • Woo-Ryeong Yang;Minsoo Shin
    • Asia pacific journal of information systems
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    • v.31 no.2
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    • pp.197-219
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    • 2021
  • Social media platforms have become prominent channels for e-commerce, and the role of social network sites' (SNS) content marketing is expanding as a strategic marketing communication approach to attract and retain consumers and increase sales. In this study, we focused on South Korea market and explored the influence of linguistic complexity and informality on consumer engagement. In particular, we identified the importance of complexity, focusing on its negative effects, as well as the moderating effect of commerce features to minimize these effects. Specifically, content length, hashtags, long words, and average sentence length significantly and negatively impacted consumer engagement. The influence of emojis, an informality variable, was not statistically significant. Shoppable tags, a commerce feature that provides both advertising explicitness and shopping convenience, were a moderating factor in the influence of complexity. Our findings provide new insights for content marketing researchers, and have practical implications for social media managers and content developers.

A Study on the Current Status and Improvement of Advertising on the Copyright Infringement Websites (저작권 침해 웹사이트 내 광고 현황과 개선방안에 관한 연구)

  • Hwang, Jang-Sun;Kim, Woon-Han;Ji, Won-Bae
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.3
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    • pp.83-90
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    • 2020
  • Recently, a growing number of copyright infringement websites have illegally copied and posted works such as broadcasting, movies and music, and posted advertisements to make profits. The research is aimed at finding solutions by analyzing the current status of advertisements on copyright infringement websites. The results of this study are as follows. First of all, there are many advertisements harmful to teenagers, such as casinos, betting, games, adult products, and adult meeting, which is necessary to deal with. Secondly, there were many unethical advertisements on copyright infringement websites, but there were also many advertisements from famous companies. Advertisements from large companies and famous brands are also being executed continuously, which can create trust in illegal sites. Therefore, the government, advertisers, citizens, and academia should participate in a campaign to root out the use of illegal websites because it is impossible to eradicate them by crackdown alone. In this paper, we pointed out the practical problems of advertising execution, the main source of revenue for copyright infringement websites, and presented a comprehensive solution.

Olympic Advertisers Win Gold, Experience Stock Price Gains During and After the Games (오운선수작위엄고대언인영득금패(奥运选手作为广告代言人赢得金牌), 비새중화비새후적고표개격상양(比赛中和比赛后的股票价格上扬))

  • Tomovick, Chuck;Yelkur, Rama
    • Journal of Global Scholars of Marketing Science
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    • v.20 no.1
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    • pp.80-88
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    • 2010
  • There has been considerable research examining the relationship between stockholders equity and various marketing strategies. These include studies linking stock price performance to advertising, customer service metrics, new product introductions, research and development, celebrity endorsers, brand perception, brand extensions, brand evaluation, company name changes, and sports sponsorships. Another facet of marketing investments which has received heightened scrutiny for its purported influence on stockholder equity is television advertisement embedded within specific sporting events such as the Super Bowl. Research indicates that firms which advertise in Super Bowls experience stock price gains. Given this reported relationship between advertising investment and increased shareholder value, for both general and special events, it is surprising that relatively little research attention has been paid to investigating the relationship between advertising in the Olympic Games and its subsequent impact on stockholder equity. While attention has been directed at examining the effectiveness of sponsoring the Olympic Games, much less focus has been placed on the financial soundness of advertising during the telecasts of these Games. Notable exceptions to this include Peters (2008), Pfanner (2008), Saini (2008), and Keller Fay Group (2009). This paper presents a study of Olympic advertisers who ran TV ads on NBC in the American telecasts of the 2000, 2004, and 2008 Summer Olympic Games. Five hypothesis were tested: H1: The stock prices of firms which advertised on American telecasts of the 2008, 2004 and 2000 Olympics (referred to as O-Stocks), will outperform the S&P 500 during this same period of time (i.e., the Monday before the Games through to the Friday after the Games). H2: O-Stocks will outperform the S&P 500 during the medium term, that is, for the period of the Monday before the Games through to the end of each Olympic calendar year (December 31st of 2000, 2004, and 2008 respectively). H3: O-Stocks will outperform the S&P 500 in the longer term, that is, for the period of the Monday before the Games through to the midpoint of the following years (June 30th of 2001, 2005, and 2009 respectively). H4: There will be no difference in the performance of these O-Stocks vs. the S&P 500 in the Non-Olympic time control periods (i.e. three months earlier for each of the Olympic years). H5: The annual revenue of firms which advertised on American telecasts of the 2008, 2004 and 2000 Olympics will be higher for those years than the revenue for those same firms in the years preceding those three Olympics respectively. In this study, we recorded stock prices of those companies that advertised during the Olympics for the last three Summer Olympic Games (i.e. Beijing in 2008, Athens in 2004, and Sydney in 2000). We identified these advertisers using Google searches as well as with the help of the television network (i.e., NBC) that hosted the Games. NBC held the American broadcast rights to all three Olympic Games studied. We used Internet sources to verify the parent companies of the brands that were advertised each year. Stock prices of these parent companies were found using Yahoo! Finance. Only companies that were publicly held and traded were used in the study. We identified changes in Olympic advertisers' stock prices over the four-week period that included the Monday before through the Friday after the Games. In total, there were 117 advertisers of the Games on telecasts which were broadcast in the U.S. for 2008, 2004, and 2000 Olympics. Figure 1 provides a breakdown of those advertisers, by industry sector. Results indicate the stock of the firms that advertised (O-Stocks) out-performed the S&P 500 during the period of interest and under-performed the S&P 500 during the earlier control periods. These same O-Stocks also outperformed the S&P 500 from the start of these Games through to the end of each Olympic year, and for six months beyond that. Price pressure linkage, signaling theory, high involvement viewers, and corporate activation strategies are believed to contribute to these positive results. Implications for advertisers and researchers are discussed, as are study limitations and future research directions.

How the Three Major Korean Network Television News Report on Issues Involving their Own Interests A Content Analysis (방송은 자사의 이익과 관련된 이슈에 대해 어떻게 보도하는가? 광고총량제, 700MHz 대역 주파수 재분배, 수신료 인상 보도 내용 분석)

  • Kim, Dokyung;Yoon, Youngmin
    • Korean journal of communication and information
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    • v.74
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    • pp.109-135
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    • 2015
  • This study investigated the news report tendency and frame by three major Korean television networks(KBS, MBC, and SBS) in their news reports on issues involving their own interests and considering in social level. The three issues chosen for this study are 'advertising regulations for total amount', 'the reallocation of 700MHz spectrum' and 'raising TV license fee'(this issue applicable only to KBS). By using content analysis method, this study identified extremely weighted tendency toward themselves by the network television channels. They have used highly biased tone and sources to reinforce their private interests in news reports about the three controversial issues. In terms of story content, the news reports have used attribution of responsibility frame dominantly in 'advertising regulations for total amount' issue, whereas the moral frame was dominant in the other two issues.

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