• Title/Summary/Keyword: Web Advertisement

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A Study on the Efficiency of Internet Keyword Advertisement According to CPM and CPC Methods by Analyzing Transactional Data (키워드 검색 광고 운영 DB 데이터 분석을 통한 CPM와 CPC방식의 광고효과 연구)

  • Kim, Do-Yeon;Lim, Gyoo-Gun;Lee, Dae-Chul
    • The Journal of Society for e-Business Studies
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    • v.16 no.4
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    • pp.139-154
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    • 2011
  • Recently Internet keyword search service providers tends to use CPC advertizement method rather than CPM method. However researches how much the CPC method is beneficial to advertisers than CPM method in certain perspectives are insufficient and not performed systematically. So this paper tries to do comparative analysis about the two methods by analyzing the real transactional DB data from an advertizement agency. Due to the difficulties of direct comparison between the two methods because of their different expose positions on the Web and different types of attributes in DB, we did some preprocessing step for the transactional data. From the result of analysis, the click rate of CPC is higher than CPM by 1.3% and the unit cost for the CPC per one click is lower than CPM method by 51 Won. It shows the CPC method is more effective than CPM method for advertizement from the point of advertizement effectiveness (CTR) and advertizement cost (CPC). We hope this research would give useful information to advertisers and marketing managers in making advertizement strategy, marketing decision and budgeting.

A Study on the Meaning and Strategy of Keyword Advertising Marketing

  • Park, Nam Goo
    • Journal of Distribution Science
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    • v.8 no.3
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    • pp.49-56
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    • 2010
  • At the initial stage of Internet advertising, banner advertising came into fashion. As the Internet developed into a central part of daily lives and the competition in the on-line advertising market was getting fierce, there was not enough space for banner advertising, which rushed to portal sites only. All these factors was responsible for an upsurge in advertising prices. Consequently, the high-cost and low-efficiency problems with banner advertising were raised, which led to an emergence of keyword advertising as a new type of Internet advertising to replace its predecessor. In the beginning of 2000s, when Internet advertising came to be activated, display advertisement including banner advertising dominated the Net. However, display advertising showed signs of gradual decline, and registered minus growth in the year 2009, whereas keyword advertising showed rapid growth and started to outdo display advertising as of the year 2005. Keyword advertising refers to the advertising technique that exposes relevant advertisements on the top of research sites when one searches for a keyword. Instead of exposing advertisements to unspecified individuals like banner advertising, keyword advertising, or targeted advertising technique, shows advertisements only when customers search for a desired keyword so that only highly prospective customers are given a chance to see them. In this context, it is also referred to as search advertising. It is regarded as more aggressive advertising with a high hit rate than previous advertising in that, instead of the seller discovering customers and running an advertisement for them like TV, radios or banner advertising, it exposes advertisements to visiting customers. Keyword advertising makes it possible for a company to seek publicity on line simply by making use of a single word and to achieve a maximum of efficiency at a minimum cost. The strong point of keyword advertising is that customers are allowed to directly contact the products in question through its more efficient advertising when compared to the advertisements of mass media such as TV and radio, etc. The weak point of keyword advertising is that a company should have its advertisement registered on each and every portal site and finds it hard to exercise substantial supervision over its advertisement, there being a possibility of its advertising expenses exceeding its profits. Keyword advertising severs as the most appropriate methods of advertising for the sales and publicity of small and medium enterprises which are in need of a maximum of advertising effect at a low advertising cost. At present, keyword advertising is divided into CPC advertising and CPM advertising. The former is known as the most efficient technique, which is also referred to as advertising based on the meter rate system; A company is supposed to pay for the number of clicks on a searched keyword which users have searched. This is representatively adopted by Overture, Google's Adwords, Naver's Clickchoice, and Daum's Clicks, etc. CPM advertising is dependent upon the flat rate payment system, making a company pay for its advertisement on the basis of the number of exposure, not on the basis of the number of clicks. This method fixes a price for advertisement on the basis of 1,000-time exposure, and is mainly adopted by Naver's Timechoice, Daum's Speciallink, and Nate's Speedup, etc, At present, the CPC method is most frequently adopted. The weak point of the CPC method is that advertising cost can rise through constant clicks from the same IP. If a company makes good use of strategies for maximizing the strong points of keyword advertising and complementing its weak points, it is highly likely to turn its visitors into prospective customers. Accordingly, an advertiser should make an analysis of customers' behavior and approach them in a variety of ways, trying hard to find out what they want. With this in mind, her or she has to put multiple keywords into use when running for ads. When he or she first runs an ad, he or she should first give priority to which keyword to select. The advertiser should consider how many individuals using a search engine will click the keyword in question and how much money he or she has to pay for the advertisement. As the popular keywords that the users of search engines are frequently using are expensive in terms of a unit cost per click, the advertisers without much money for advertising at the initial phrase should pay attention to detailed keywords suitable to their budget. Detailed keywords are also referred to as peripheral keywords or extension keywords, which can be called a combination of major keywords. Most keywords are in the form of texts. The biggest strong point of text-based advertising is that it looks like search results, causing little antipathy to it. But it fails to attract much attention because of the fact that most keyword advertising is in the form of texts. Image-embedded advertising is easy to notice due to images, but it is exposed on the lower part of a web page and regarded as an advertisement, which leads to a low click through rate. However, its strong point is that its prices are lower than those of text-based advertising. If a company owns a logo or a product that is easy enough for people to recognize, the company is well advised to make good use of image-embedded advertising so as to attract Internet users' attention. Advertisers should make an analysis of their logos and examine customers' responses based on the events of sites in question and the composition of products as a vehicle for monitoring their behavior in detail. Besides, keyword advertising allows them to analyze the advertising effects of exposed keywords through the analysis of logos. The logo analysis refers to a close analysis of the current situation of a site by making an analysis of information about visitors on the basis of the analysis of the number of visitors and page view, and that of cookie values. It is in the log files generated through each Web server that a user's IP, used pages, the time when he or she uses it, and cookie values are stored. The log files contain a huge amount of data. As it is almost impossible to make a direct analysis of these log files, one is supposed to make an analysis of them by using solutions for a log analysis. The generic information that can be extracted from tools for each logo analysis includes the number of viewing the total pages, the number of average page view per day, the number of basic page view, the number of page view per visit, the total number of hits, the number of average hits per day, the number of hits per visit, the number of visits, the number of average visits per day, the net number of visitors, average visitors per day, one-time visitors, visitors who have come more than twice, and average using hours, etc. These sites are deemed to be useful for utilizing data for the analysis of the situation and current status of rival companies as well as benchmarking. As keyword advertising exposes advertisements exclusively on search-result pages, competition among advertisers attempting to preoccupy popular keywords is very fierce. Some portal sites keep on giving priority to the existing advertisers, whereas others provide chances to purchase keywords in question to all the advertisers after the advertising contract is over. If an advertiser tries to rely on keywords sensitive to seasons and timeliness in case of sites providing priority to the established advertisers, he or she may as well make a purchase of a vacant place for advertising lest he or she should miss appropriate timing for advertising. However, Naver doesn't provide priority to the existing advertisers as far as all the keyword advertisements are concerned. In this case, one can preoccupy keywords if he or she enters into a contract after confirming the contract period for advertising. This study is designed to take a look at marketing for keyword advertising and to present effective strategies for keyword advertising marketing. At present, the Korean CPC advertising market is virtually monopolized by Overture. Its strong points are that Overture is based on the CPC charging model and that advertisements are registered on the top of the most representative portal sites in Korea. These advantages serve as the most appropriate medium for small and medium enterprises to use. However, the CPC method of Overture has its weak points, too. That is, the CPC method is not the only perfect advertising model among the search advertisements in the on-line market. So it is absolutely necessary that small and medium enterprises including independent shopping malls should complement the weaknesses of the CPC method and make good use of strategies for maximizing its strengths so as to increase their sales and to create a point of contact with customers.

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Smart CCTV Security Service in IoT(Internet of Things) Environment (사물인터넷 환경에서 스마트 CCTV 방범 서비스)

  • Cho, Jeong-Rae;Kim, Hye-Suk;Chae, Doo-Keol;Lim, Suk-Ja
    • Journal of Digital Contents Society
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    • v.18 no.6
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    • pp.1135-1142
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    • 2017
  • In this paper, we propose IoT based smart CCTV security service to prevent crime in blind spot and prevent unexpected fire or danger. In the proposed method, a RC (Radio Control) car is made using Raspberry pie, and a camera and various modules are installed in an RC car. It was then implemented using Raspbian O / S, Apache Web Server, Shell script, Python, PHP, HTML, CSS, Javascript. The RC car provides a security service that informs the manager of the situation by judging the risk of the scene with modules such as video, voice and temperature. Experimental results show that the transmission time of video and audio information is less than 0.1 second. In addition, real-time status transmission was possible in AVG, emergency, and manual mode. It is expected that the proposed method will be applied to the development of smart city by applying it to unmanned vehicles, drones and the like.

A Personalized Service System based on Distributed Heterogeneous Internet Shopping Mall Environment (분산 이기종 인터넷 쇼핑몰 환경에서의 벡터 모델 기반 개인화 서비스 시스템)

  • Park, Sung-Joon;Kim, Ju-Youn;Kim, Young-Kuk
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.2
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    • pp.206-218
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    • 2002
  • In this paper, we design and implement a system that presents a method for selecting and providing personalized services independently without unifying the existing system platform with shopping malls joined in the hub site. This system provides a mechanism for gathering information left behind by many clients visiting Web sites for analysis of customers property, vector model for selecting personalized services, and mechanism for providing them to customers who visited in a shopping mall joined to the hub site. In a position of shopping mall site, this kind of personalization system can provide target advertisement, point marketing, and point share service etc. without changing existing shopping mall's environment through wrapper web server. Hub site customers can get personalized services from many shopping mall sites with only once registration for the hub site.

Development of a 3D Brickwork Game Using Java (Java를 이용한 3차원 벽돌 쌓기 게임 개발)

  • Baek, Tae-Gwan;Seo, Sang-Jin;Jeong, Gab-Joong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.121-124
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    • 2007
  • This paper describes the development of a brickwork game with three-dimensional computer graphics as one of web-based game contents. Client user using web can access and run lava applet program with the independence of hardware system. It consists of graphic user interface module, initial space generation module, event handler module, player control module, and thread control module. It uses 3-D array data structure for the 3-D graphic objects that are located in three-dimensional space for high-speed object searching and sorting. It enhances to compare with predetermined construction in three-dimensional space. We can use the developed racing game to inform game users of information for an advertisement like tourism information, and can apply the proposed 3-D drawing technology to 3-D game graphic engine core.

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Display Types for Alleviating Negative Attitude toward Advertisements Attached to Web Articles (인터넷 신문기사에 첨부된 광고의 거부감 경감을 위한 광고 제시 방식)

  • Yu, Hyun-Jin;Lim, Seong-Taek;Chung, Jin-Gu;Lee, Ju-Hwan
    • 한국HCI학회:학술대회논문집
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    • 2007.02b
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    • pp.554-559
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    • 2007
  • 최근 인터넷 관련 기술의 급속한 발전으로 사람들의 다양한 사회적, 경제적 행위들이 인터넷을 기반으로 확대되고 있다. 특히 우리나라의 경우 초고속 통신망의 확산과 더불어 인터넷 쇼핑몰과 상거래시장 또한 빠르게 성장하였다. 이러한 상황에서 인터넷을 매체로 하는 광고기법 또한 다양하게 적용되고 있는데, 인터넷을 통한 광고 효과를 극대화하기 위해 인터넷 신문기사 주변에 배치된 배너광고, 팝업광고 등 여러 가지 시도들이 있어왔다. 이러한 시도들은 인터넷 사용자의 편의에 대한 고려보다는 광고내용을 얼마나 잘 전달할 수 있는가에 초점이 맞추어져 있었다. 그러나 광고내용이 잘 전달된다 하더라도 소비자가 그 광고에 대해 불쾌감을 느끼게 된다면 과연 인터넷 광고효과가 높다고 말할 수 없을 것이다. 예를 들어, 팝업광고에 대한 대응책으로 개인적으로 팝업 블록커(pop-up blocker)를 사용하겠는가에 대한 설문조사 결과를 보면 사람들이 팝업 블록커를 이용해서라도 팝업광고를 피하고자 하는 비율이 77%에 달한다는 것을 알 수 있다. 실제로 Windows XP 서비스팩 2 이후의 버전은 인터넷 사용자들의 편의를 위해 자동 팝업 차단기능을 갖추고 있는 실정이다. 팝업광고를 통해 아무리 높은 정보전달 효과가 발생한다 하더라도 사용자들은 팝업광고에 대하여 거부감이나 부정적 감정을 느낄 수 있다. 그리고 광고정보가 전달된다 하더라도 팝업광고에 대한 사용자들의 불편함이 그 광고에 대한 부정적 감정으로 전이되어 광고대상에 대한 이미지에 악영향을 미칠 수 있음에 유의해야 한다. 그러므로 광고효과는 극대화하면서, 혹은 기존의 수준을 유지하면서 광고에 대한 거부감을 줄인 광고형태를 찾기 위한 다양한 노력들이 필요하다. 이를 위해 본 연구에서는 인터넷 신문기사에 첨부된 광고에 대한 사용자의 거부감을 줄일 수 있는 새로운 광고 제시 방식을 찾고자 일반적으로 사용되는 배너와 팝업 등 두 가지 광고 제시 방식과 전면에 돌출하지 않는 형태로 인터넷 신문기사의 배경에 삽입된 광고 제시 방식을 비교하였다. 그 결과, 인터넷 신문기사 영역의 주변 특정 부분(코너나 중간 부분 등)에 광고를 삽입한 배너 형태의 광고와 인터넷 신문기사 위에 광고가 돌출 등장하여 콘텐츠를 가리는 팝업 형태의 광고 제시 방식보다 새롭게 제안된 백그라운드 형태의 광고 제시 방식이 인터넷 신문기사를 읽는 사용자에게 거부감을 줄이며 동시에 광고효과를 유지할 수 있음을 확인하였다. 이러한 결과를 인터넷 광고 제시 방식으로 활용한다면 인터넷 사용자에게 콘텐츠를 방해하여 발생하는 명시적인 거부감(explicit negative attitude)을 줄이면서도 암묵적인(implicit) 광고효과를 얻을 수 있을 것이다.

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Development and implementation of a project-based learning model using CMC and situated evaluation with message analysis (통신망을 활용한 프로젝트 학습 모형의 개발 및 적용과 메시지 분석을 이용한 상황적 평가)

  • Jun, Youngcook;Kim, Junghack;Park, Hongjune
    • The Journal of Korean Association of Computer Education
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    • v.8 no.4
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    • pp.57-69
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    • 2005
  • In this study we try to design and develop a mixed model of project-based learning with internet. In order to support the developed model, we separately developed a web-based tool, called Project Learning BBS. The classroom teaching for advertisement-photo production with the model has been carried out during May-July in 2002 and March-July in 2003 respectively with 40 students each. The overall activities of group collaborative work done during the teaching periods have been formatively evaluated with classroom observation, interviews and students' portfolios that were related to the processes of photo planning, video shooting and editing. It has also investigated how the students involved the web-based group discussion activities. In short, data analysis indicated that the participants accepted the proposed project-based learning model for their learning events in a positive way in order to increase the utilization of CMC.

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Big data-based Local Store Information Providing Service (빅데이터에 기반한 지역 상점 관련 정보제공 서비스)

  • Mun, Chang-Bae;Park, Hyun-Seok
    • The Journal of the Korea Contents Association
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    • v.20 no.2
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    • pp.561-571
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    • 2020
  • Location information service using big data is continuously developing. In terms of navigation, the range of services from map API service to ship navigation information has been expanded, and system application information has been extended to SNS and blog search records for each location. Recently, it is being used as a new industry such as location-based search and advertisement, driverless cars, Internet of Things (IoT) and online to offline (O2O) services. In this study, we propose an information system that enables users to receive information about nearby stores more effectively by using big data when a user moves a specific route. In addition, we have designed this system so that local stores can use this system to effectively promote it at low cost. In particular, we analyzed web-based information in real time to improve the accuracy of information provided to users by complementing the data. Through this system, system users will be able to utilize the information more effectively. Also, from a system perspective, it can be used to create new services by integrating with various web services.

Application of Market Basket Analysis to Personalized advertisements on Internet Storefront (인터넷 상점에서 개인화 광고를 위한 장바구니 분석 기법의 활용)

  • 김종우;이경미
    • Korean Management Science Review
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    • v.17 no.3
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    • pp.19-30
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    • 2000
  • Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

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A Study on the Practice and Strategy of the Social Marketing in fashion Business (패션기업의 사회지향적 마케팅 실천 및 전략에 관한 연구)

  • Kwon, Mi-Jeong;Lee, Gye-Suk;Lee, Soon-Deuk
    • Korean Journal of Human Ecology
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    • v.14 no.1
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    • pp.179-192
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    • 2005
  • The purpose of this study is to investigate into the practical cases of social marketing and to seek the practical strategy in fashion business. These practical cases were investigated through theses, professional books, fashion magazines, fashion newspapers, daily newspapers and web site, etc. The results of this study were as follows : 1. The social marketing by decision-making is able to practice and to set up a strategy in consumerism, humanism and environmentalism. 2. The social marketing by feedforward is able to practice and to set up a strategy in business strategy and product strategy. 3. The social marketing by administrative is able to practice and to set up a strategy in product development, price decision, distribution management and advertisement & promotion. 4. The social marketing by total system is able to practice and to set up a strategy in marketing planning and self-audits system.

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