• 제목/요약/키워드: Keyword search strategy

검색결과 18건 처리시간 0.037초

키워드 검색광고에서 클릭당 단가 결정에 영향을 미치는 요인에 대한 연구 (A Study on the Factors Influencing Cost-per-Click of Sponsored Search Advertising)

  • 심광섭;김종우
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2007년도 추계학술대회 및 정기총회
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    • pp.425-434
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    • 2007
  • The sponsored search has become significant channel of online advertising, and the large sized advertisers have appeared, so the sponsored search strategy is becoming more important. Since CPC(Cost-per-Click) advertising has different price according to keyword, it is difficult to manage the a lot of keywords at one time. So, the purpose of this study is to investigate the factors which influence on the cost-per-click of sponsored search advertising. That is, there are four factors: impression, CTR(Click through Rate), conversion rate, and keyword's length. for the regression analysis, we use the actual data which is gotten from an ad agency. The result of that, the impression and keyword's length influence cost-per-click positively. However, CTR & conversion rate have no influence on it unexpectedly.

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XML 웹 서비스 검색 엔진의 개발 (Development of a XML Web Services Retrieval Engine)

  • 손승범;오일진;황윤영;이경하;이규철
    • Journal of Information Technology Applications and Management
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    • 제13권4호
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    • pp.121-140
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    • 2006
  • UDDI (Universal Discovery Description and Integration) Registry is used for Web Services registration and search. UDDI offers the search result to the keyword-based query. UDDI supports WSDL registration but it does not supports WSDL search. So it is required that contents based search and ranking using name and description in UDDI registration information and WSDL. This paper proposes a retrieval engine considering contents of services registered in the UDDI and WSDL. It uses Vector Space Model for similarity comparison between contents of those. UDDI registry information hierarchy and WSDL hierarchy are considered during searching process. This engine suppports two discovery methods. One is Keyword-based search and the other is template-based search supporting ranking for user's query. Template-based search offers how service interfaces correspond to the query for WSDL documents. Proposed retrieval engine can offer search result more accurately than one which UDDI offers and it can retrieve WSDL which is registered in UDDI in detail.

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농업분야 무인항공기(UAV) 활용 연구동향 분석 (Research Trend Analysis of Unmanned Aerial Vehicle(UAV) Applications in Agriculture)

  • 배성훈;이정우;강상규;김민관
    • 산업경영시스템학회지
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    • 제43권2호
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    • pp.126-136
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    • 2020
  • Recently, unmanned aerial vehicles (UAV, Drone) are highly regarded for their potential in the agricultural field, and research and development are actively conducted for various purposes. Therefore, in this study, to present a framework for tracking research trends in UAV use in the agricultural field, we secured a keyword search strategy and analyzed social network, a methodology used to analyze recent research trends or technological trends as an analysis model applied. This study consists of three stages. As a first step in data acquisition, search terms and search formulas were developed for experts in accordance with the Keyword Search Strategy. Data collection was conducted based on completed search terms and search expressions. As a second step, frequency analysis was conducted by country, academic field, and journal based on the number of thesis presentations. Finally, social network analysis was performed. The analysis used the open source programming language 'Python'. Thanks to the efficiency and convenience of unmanned aerial vehicles, this field is growing rapidly and China and the United States are leading global research. Korea ranked 18th, and bold investment in this field is needed to advance agriculture. The results of this study's analysis could be used as important information in government policy making.

PIX: XML문서 검색을 위한 색인 분할 기법 (PIX: Partitioned Index for Keyword Search over XML Documents)

  • 이홍래;이형동;유상원;김형주
    • 한국정보과학회논문지:데이타베이스
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    • 제31권6호
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    • pp.710-720
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    • 2004
  • 정보 검색의 대상이 XML 문서가 되면서 구조 정보를 이용하는 것과 같은 단순한 텍스트 기반의 검색에서는 어려웠던 일이 가능해졌다. 그러나 문서 단위로 처리하던 정보를 엘리먼트 단위로 상세하게 해야 하므로 처리의 부담이 가중되어 많은 수의 엘리먼트를 효과적으로 처리할 수 있는 알고리즘이 필요하다. 본 논문에서는 결과가 될 가능성이 있는 엘리먼트들끼리 미리 분할 한 후 저장하여 처리 대상이되는 엘리먼트들의 수를 줄이는 역색인 방법을 제안한다. 분할은 특정 레벨을 기준으로 하여 이 레벨에서 공통 선조를 가질 수 있는 가의 여부에 따라 수행한다. 그리고 분할 병합을 통하여 분할하지 않은 것과 동일한 결과를 생성할 수 있도록 하였다. 이는 기존의 XML 문서에 대한 키워드 검색의 성능을 향상시키는 결과를 가져왔고 이를 실험적으로 검증하였다.

A Study on the Meaning and Strategy of Keyword Advertising Marketing

  • Park, Nam Goo
    • 유통과학연구
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    • 제8권3호
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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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인터넷 패션소호쇼핑몰의 방문자를 늘리기 위한 효과적인 촉진 전략 연구 - 여대생의 인터넷 쇼핑몰 방문경로분석을 중심으로 - (A Study on the Effective Promotion Strategy for Increasing Visitors on Internet Fashion Soho Shopping Mall)

  • 김희선
    • 한국의상디자인학회지
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    • 제13권1호
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    • pp.147-158
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    • 2011
  • This study analyzed the effective and suitable promotion method to increase visitors on the internet fashion soho shopping mall by surveying of female university students. The methods were in-depth interviews for 20 students and questionnaires for 363 students. The results indicated that the main routes of visiting the internet fashion shopping mall were keyword search window, banner advertisement window, and open market. Others were price comparison sites, the rank shop, fashion magazines or internet news, information in e-mail, broadcasting sponsor advertisements, name cards, and leaflets. So the effective methods to increase the number of visitors is to implement keyword advertisements, banner advertisements, and enter the open market to expose the brand names and item information. Being on price comparison sites or rank shops, advertisements in the fashion magazines, internet news or e-mail, broadcast sponsorships, and distribution of leaflets or name cards were also effective methods.

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암 환자의 한의학 치료 이용 현황 (Use of Korean Medicine among Cancer Patients)

  • 최유진;이지수;조성훈
    • 대한한의학회지
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    • 제33권3호
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    • pp.46-53
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    • 2012
  • Objectives: Many cancer patients have been using Korean medicine with conventional medical care. This study aimed to look into current status of Korean medicine in cancer patients in Korea. Methods: We reviewed utilization of Korean medicine for cancer by searching DB (KoreaMed, KMbase, KISS, NDSL, KISTI, National Assembly Library, OASIS, Korean Traditional Knowledge Portal). The first search keyword used was "cancer" and the second keyword used was either "oriental", "alternative" or "complementary". Results: The utilization rate of Korean medicine was 31.0%. In terms of patient's disease characteristics, most of them were suffering from stomach cancer, lung cancer and colon cancer. Most of them were diagnosed as fourth stage of cancer. Ginseng (14.8%) was a favorite Korean medicine, followed by medicinal treatment (8.1%), acupuncture (3.1%), moxibustion (3.0%), and cupping (2.1%). Conclusions: In Korea, one third of cancer patients are using Korean medicine. We need to know the expectations and demand for Korean medicine for treating cancer and establish our strategy to attract public attention.

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

  • 김도연;임규건;이대철
    • 한국전자거래학회지
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    • 제16권4호
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    • pp.139-154
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    • 2011
  • 최근 키워드 검색 서비스를 제공하는 검색매체들은 CPM 광고방식에서 CPC 광고방식으로 전환하고 있는 실정이다. 그러나 CPC 광고방식이 CPM 광고방식에 비해 어떠한 측면에 서 효과가 있는가에 대한 체계적 연구는 미흡한 편이다. 이에 본 연구는 CPM 광고방식과 CPC 광고방식의 효과를 DB(Database)로부터 실 사례 데이터를 수집하여 두 광고방식 간 차이가 있는지에 대해 비교분석을 시도하였다. CPM 광고방식과 CPC 광고방식의 광고노출 영역은 상이하여 두 방식을 직접적으로 비교하기 어려우므로 분석단위를 동일하게 하기 위해 원본 데이터에 대한 전처리 과정을 수행하였다. 대상 데이터에 대한 분석결과 CPC 광고방식이 CPM 광고방식보다 총 노출 수 대비 클릭률이 약 1.3% 가량 높게 나타났으며, 1광고에 대한 클릭 당 단가가 약 51원 저렴한 것으로 나타났다. 즉 CPC 광고방식이 CPM 광고방식에 비해 광고효과 측면(CTR)과 광고비용 측면(CPC)에서 보다 우수한 것으로 나타났다. 향후 본 연구를 통해 키워드 검색 광고를 이용하고자 하는 광고주 및 마케팅 담당자에게 근거 있는 자료로서 마케팅 의사결정, 전략수립 및 예산편성에 도움이 되길 기대해 본다.

사회연결망 분석을 활용한 나노기술 연구동향 국가간 비교분석: 탄소나노소재분야 중심 (Comparative Analysis of Co-Authorship and Keyword Network for Nanotechnology: Carbon Nanomaterials Field)

  • 배성훈;김재신;신광민;윤진선;강상규;김준현;이정우;김민관;한창희
    • 한국생산제조학회지
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    • 제26권2호
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    • pp.172-184
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    • 2017
  • Nanotechnology is a leading branch of technology and is expected to improve national industrial competitiveness. For maintaining a sustainable growth in nanotechnology, Korean government has set up specific plans from a long-term perspective. One of these plans is tracking and promoting certain potential technologies called Future 30 Nanotechnologies. This study aims to develop an analysis framework for comprehending the Future 30 Nanotechnologies. We applied this framework to the carbon nanomaterials field. Through co-authorship and keyword network analysis, we identified the research trends of three countries (i.e., Korea, US, and China.). This research framework could be utilized in the development of a nanotechnology policy.

Industry 4.0 환경에서의 작업자 정신 및 신체 건강 상태 모니터링 연구 동향 분석 (Analysis of Research Trends in Monitoring Mental and Physical Health of Workers in the Industry 4.0 Environment)

  • 박정철
    • 한국산업융합학회 논문집
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    • 제27권3호
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    • pp.701-707
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    • 2024
  • Industry 4.0 has brought about significant changes in the roles of workers through the introduction of innovative technologies. In smart factory environments, workers are required to interact seamlessly with robots and automated systems, often utilizing equipment enhanced by Virtual Reality (VR) and Augmented Reality (AR) technologies. This study aims to systematically analyze recent research literature on monitoring the physical and mental states of workers in Industry 4.0 environments. Relevant literature was collected using the Web of Science database, employing a comprehensive keyword search strategy involving terms related to Industry 4.0 and health monitoring. The initial search yielded 1,708 documents, which were refined to 923 journal articles. The analysis was conducted using VOSviewer, a tool for visualizing bibliometric data. The study identified general trends in the publication years, countries of authors, and research fields. Keywords were clustered into four main areas: 'Industry 4.0', 'Internet of Things', 'Machine Learning', and 'Monitoring'. The findings highlight that research on health monitoring of workers in Industry 4.0 is still emerging, with most studies focusing on using wearable devices to monitor mental and physical stress and risks. This study provides a foundational overview of the current state of research on health monitoring in Industry 4.0, emphasizing the need for continued exploration in this critical area to enhance worker well-being and productivity.