• Title/Summary/Keyword: Re-Ranking

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Legal Alternative plan for public servant Ethic Act (공직윤리제도 개선을 위한 법적대안)

  • Kim, Seon Il;Lee, Youn Hwan
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.61-70
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    • 2014
  • It has been raised a number of administrative ethic questions nevertheless of institutional strategy. It's even worse rather than solved. Especially, because of a distinctive family calture tradition that forming intimate bond, we're carrying lots of possibility of public corruption. As in the case of Busan Saving Bank recently, many of high-ranking officials are scouted to lawferm or business interest company After that this ex-officials exert their influence over government office. terminating public corruption. Lenient law enforcements as in the case of sponser prosecutor, social welfare budget embezzlement result in public distrust about anticorruption policy of government In conclutsion, for a best function of public service ethic system it's important to improve institutional problem constantly.

A Document Summary System based on Personalized Web Search Systems (개인화 웹 검색 시스템 기반의 문서 요약 시스템)

  • Kim, Dong-Wook;Kang, Soo-Yong;Kim, Han-Joon;Lee, Byung-Jeong;Chang, Jae-Young
    • Journal of Digital Contents Society
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    • v.11 no.3
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    • pp.357-365
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    • 2010
  • Personalized web search engine provides personalized results to users by query expansion, re-ranking or other methods representing user's intention. The personalized result page includes URL, page title and small text fragment of each web document. which is known as snippet. The snippet is the summary of the document which includes the keywords issued by either user or search engine itself. Users can verify the relevancy of the whole document using only the snippet, easily. The document summary (snippet) is an important information which makes users determine whether or not to click the link to the whole document. Hence, if a search engine generates personalized document summaries, it can provide a more satisfactory search results to users. In this paper, we propose a personalized document summary system for personalized web search engines. The proposed system provides increased degree of satisfaction to users with marginal overhead.

Performance assessment and improvement plan of the regulatory management system of veterinary medical devices in Korea (국내 동물용 의료기기 관리실태 평가 및 개선방안 연구)

  • An, Hyo-Jin;Yoon, Hyang-Jin;Kim, Chung-Hyun;Wee, Sung-Hwan;Moon, Jin-San
    • Korean Journal of Veterinary Research
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    • v.55 no.2
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    • pp.97-103
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    • 2015
  • In this study, the Korean veterinary medical devices management system was evaluated relative to systems in the USA, EU, and Japan. Veterinary medical devices are regulated in Korea based on the Medical Appliance Act of 1997. This was initially supervised by the Ministry of Agriculture, Food and Rural Affairs and Korea Animal Health Products Association, and subsequently by the Animal and Plant Quarantine Agency (QIA) in 2000. These devices were classified approximately 1,400 categories as instruments, supplies, artificial insemination apparatus, and other categories. Each of these devices was assigned to four regulatory grades by the QIA in 2007. The ranking system for veterinary medical devices was implemented in 2014 with 820 products from 162 companies registered by that year. However, in vitro diagnostic devices (IVDDs) for animals were managed as medical devices and biological medicine. In vitro diagnostic reagents for treating infection diseases are not subjected to either a classification or grading system. Veterinary medical devices are currently exempt from good manufacturing practices (GMP) and device tracking requirements. Due to gradual growth of the domestic veterinary medical devices market since 2008, regulation of these devices should be improved with re-examination of IVDDs and GMP certification for the effective operating system.

Subtopic Mining of Two-level Hierarchy Based on Hierarchical Search Intentions and Web Resources (계층적 검색 의도와 웹 자원을 활용한 2계층 구조의 서브토픽 마이닝)

  • Kim, Se-Jong;Lee, Jong-Hyeok
    • KIISE Transactions on Computing Practices
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    • v.22 no.2
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    • pp.83-88
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    • 2016
  • Subtopic mining is the extraction and ranking of possible subtopics, which disambiguate and specify the search intentions of an input query in terms of relevance, popularity, and diversity. This paper describes the limitations of previous studies on the utilization of web resources, and proposes a subtopic mining method with a two-level hierarchy based on hierarchical search intentions and web resources, in order to overcome these limitations. Considering the characteristics of resources provided by the official subtopic mining task, we extract various second-level subtopics reflecting hierarchical search intentions from web documents, and expand and re-rank them using other provided resources. Terms in subtopics with wider search intentions are used to generate first-level subtopics. Our method performed better than state-of-the-art methods in almost every aspect.

Concept Network-based Personalized Web Search Systems (개념 네트워크 기반 사용자 인지형 웹 검색 시스템)

  • Yune, Hong-June;Noh, Joon-Ho;Kim, Han-Joon;Lee, Byung-Jeong;Kang, Soo-Yong;Chang, Jae-Young
    • Journal of Internet Computing and Services
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    • v.12 no.2
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    • pp.63-73
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    • 2011
  • In general, conventional search engines provide the same search results for the same queries of users, and however such techniques do not consider users' characteristics. To overcome this problem, we need a new way of personalized search which returns customized search results according to users' preference. In this paper, we propose a concept network profile-based personalized web search system in which the concept network is developed for accumulating users' characteristics. The concept network-based user profile is used to expand initial search queries to achieve personalized search. The concept network is a network structure of concepts where each concept is generated whenever each query is submitted, and it can be defined as a set of keywords extracted from the selected documents. Furthermore, we have improved the concept networks by augmenting intent keywords of each concept with a set of classification tags, called folksonomy, assigned to each document. For an additional personalized search technique, we propose a new re-ranking method that analayzes the degree of overlapped search results.

Technological Achievements and Economic Development: The Significance of Technological Achievement Gap in Selected East and South Asian Countries

  • Ali, Tariq Mahmood
    • STI Policy Review
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    • v.8 no.1
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    • pp.113-156
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    • 2017
  • Although technological progress is considered a key element for economic growth and development of a country, strong empirical evidence in this regard is not available yet. Therefore, to establish the empirical link between technology progress and economic development, it is advisable to carry out a time series analysis. In this regard, the Technology Achievement Index (TAI) of 100 top economies has been developed to examine the position of countries' technological progress for the 21 years spanning 1995 to 2015. Countries have been ranked on their TAI which is based on four pillars; technology creation, diffusion of older innovations, diffusion of recent innovations, and development of human skills. As well, this current study re-calculates the Humane Development Index (HDI) of 100 top economies for the 21 years from 1995 to 2015. Ranking of countries' HDI values reflects three dimensions: A long lifespan (life expectancy index), knowledge (Education Index) and a decent standard of living (Gross National Income Index, or GNI). The Standard Deviation (SD) technique has been used to investigate the technological gap between individual countries and groups of countries or regions. For a more meaningful assessment, technological gaps from the maximum achievement value (i.e., one of the countries under study) are presented as well. To investigate the impact of technological progress on economic development, this study introduces a model in which the HDI is used as the dependent variable and the TAI and Gross Capital Formation (GCF) are used as independent variables. The HDI, TAI and GCF are used in this model as proxy variables for economic development, technological progress and capital respectively. Econometric techniques have been used to show the impact of technological progress on economic development. The results show that long-term associations exist between technology progress and economic development; the impact of technology progress on economic development is 13.2% while the impact is 4.3% higher in eight selected East South Asian countries, at 13.5%, than in eight selected highly developed countries (9.2%).

Personalized Bookmark Recommendation System Using Tag Network (태그 네트워크를 이용한 개인화 북마크 추천시스템)

  • Eom, Tae-Young;Kim, Woo-Ju;Park, Sang-Un
    • The Journal of Society for e-Business Studies
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    • v.15 no.4
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    • pp.181-195
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    • 2010
  • The participation and share between personal users are the driving force of Web 2.0, and easily found in blog, social network, collective intelligence, social bookmarking and tagging. Among those applications, the social bookmarking lets Internet users to store bookmarks online and share them, and provides various services based on shared bookmarks which people think important.Delicious.com is the representative site of social bookmarking services, and provides a bookmark search service by using tags which users attach to the bookmarks. Our paper suggests a method re-ranking the ranks from Delicious.com based on user tags in order to provide personalized bookmark recommendations. Moreover, a method to consider bookmarks which have tags not directly related to the user query keywords is suggested by using tag network based on Jaccard similarity coefficient. The performance of suggested system is verified with experiments that compare the ranks by Delicious.com with new ranks of our system.

Hypertext Retrieval System Using XLinks (XLinks를 이용한 하이퍼텍스트 검색 시스템)

  • Kim, Eun-Jeong;Bae, Jong-Min
    • The KIPS Transactions:PartD
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    • v.8D no.5
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    • pp.483-494
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    • 2001
  • Most of hypertext retrieval models consider documents as independent entities. They ignore relationships between documents of link semantics. in an information retrieval system for hypertext documents, retrieval effectiveness can be improved when ling information is used. Previous link-based hypertext retrieval models ignore link information while indexing. They utilize link information to re-rank the retrieval results. Therefore they are limited that only the documents is result-set utilize link information. This paper utilizes link information when indexing. We present how to use term weighting and inLinks weighting for ranking the relevant documents. Experimental results show that recall and precision evaluation according to the link semantics and the comparison with previously link_based hypertext retrieval model.

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Distance Learning and Re-Ranking based Broadcasting Contents Tagging with Blog Postings (거리 학습과 재서열화를 이용한 방송 콘텐츠에 대한 블로그 포스팅 태깅)

  • Son, Jeong-Woo;Kim, Sun-Joong;Kim, Hwa-Suk;Cho, Keeseong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.882-885
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    • 2014
  • 이미지 혹은 영상에 대한 자동 태깅은 해당 콘텐츠에 대한 추가적인 정보를 자동으로 시스템에 제공하는 기술로써 영상 인식, 콘텐츠 매시업, 정보 검색 등 다양한 기술/서비스 분야에서 여러 목적으로 활용되고 있다. 특히, 방송 콘텐츠는 많은 양의 정보를 제한된 영역 및 시간에 축약하여 담고 있기 때문에 영상 처리 기술을 통한 객체 인식이나, 콘텐츠 매시업, 추천 서비스 등의 성능 향상을 위해 자동 혹은 수동 태깅을 통한 정보 제공이 요구된다. 본 논문에서는 블로그를 이용한 프레임 단위의 방송 콘텐츠 태깅 기술을 제안한다. 제안하는 기술은 기존의 콘텐츠 단위의 정보 제공이나, 수동 태깅 된 정보를 제공하는 기술들과 달리, 영상의 각 프레임에 대한 자동 태깅을 목표로 한다. 제안하는 방법은 거리 학습을 통해 영상의 각 프레임이 가지는 특성을 고려한 모델을 구축한 후, 이를 토대로 영상의 프레임들과 블로그의 이미지를 매칭한다. 매칭된 결과를 기반으로 특정 블로그는 영상 내 특정 프레임 구간에 태깅 된다. 제안한 방법은 이미지 매칭 성능을 측정하여 평가하였다. 블로그 이미지에 대해 Top 1 매칭 프레임을 살펴본 결과, 70%의 정확률을 보였다. 소프트 매칭(Top n)의 경우, 최대 90%의 성능을 얻을 수 있음을 실험을 통해 알 수 있었다.

Estimation of the genetic milk yield parameters of Holstein cattle under heat stress in South Korea

  • Lee, SeokHyun;Do, ChangHee;Choy, YunHo;Dang, ChangGwon;Mahboob, Alam;Cho, Kwanghyun
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.3
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    • pp.334-340
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    • 2019
  • Objective: The objective of this study was to investigate the genetic components of daily milk yield and to re-rank bulls in South Korea by estimated breeding value (EBV) under heat stress using the temperature-humidity index (THI). Methods: This study was conducted using 125,312 monthly test-day records, collected from January 2000 to February 2017 for 19,889 Holstein cows from 647 farms in South Korea. Milk production data were collected from two agencies, the Dairy Cattle Genetic Improvement Center and the Korea Animal Improvement Association, and meteorological data were obtained from 41 regional weather stations using the Automated Surface Observing System (ASOS) installed throughout South Korea. A random regression model using the THI was applied to estimate genetic parameters of heat tolerance based on the test-day records. The model included herd-year-season, calving age, and days-in-milk as fixed effects, as well as heat tolerance as an additive genetic effect, permanent environmental effect, and direct additive and permanent environmental effect. Results: Below the THI threshold (${\leq}72$; no heat stress), the variance in heat tolerance was zero. However, the heat tolerance variance began to increase as THI exceeded the threshold. The covariance between the genetic additive effect and the heat tolerance effect was -0.33. Heritability estimates of milk yield ranged from 0.111 to 0.176 (average: 0.128). Heritability decreased slightly as THI increased, and began to increase at a THI of 79. The predicted bull EBV ranking varied with THI. Conclusion: We conclude that genetic evaluation using the THI function could be useful for selecting bulls for heat tolerance in South Korea.