• 제목/요약/키워드: Data Analysis and Search

검색결과 1,805건 처리시간 0.026초

MenuGen: 한국 식량자급률 향상을 위한 인터넷 기반의 권장식단검색 및 식단작성 프로그램 (MenuGen: Menu Planning and Recommended Menu Search System for Promotion of Self Sufficiency of Korean Food)

  • 홍순명;배재학;김곤;최정숙;김영옥
    • 대한영양사협회학술지
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    • 제10권3호
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    • pp.272-283
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    • 2004
  • This study was conducted to develop menugen program: Korean recommended menu planning and search based on internet to promote self sufficiency of food in Korea. This program manipulate menu and search 432 Korean recommended menus which have been developed in combination of population characteristics of 9 age level, 3 residential areas, 3 income groups, four seasons and male or female. Clients can select the high self sufficiency recommended menu by inputting their age, residental area, income, season and sex in using Menugen program. MenuGen can analyze nutrients and compare with Korean Recommended Allowance about clients' menu based on their age and sex. It can access the food, dish and menu databases. And also client can use MenuGen program for menu planning and analysis nutrients. Client's menu data can be store, delete, modify and print through MenuGen too. It will be able to read the nutrition analysis data of the foods, the dishes and the menu. Therefore it provides convenient user interface to not only users but also dietitians and nutritionists, who take charge of making a menu, and experts in the field of food and nutrition. MenuGen will help the nutrition policy accomplishment and the food self-supply rate improvement of the nation with use of menu drawing up program of internet base.

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청소년의 도서관 인식 및 정보원 이용에 관한 조사연구 (An Exploratory Study on Adolescents' Perceptions of Library and their Information Use)

  • 이정미
    • 한국문헌정보학회지
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    • 제49권3호
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    • pp.351-370
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    • 2015
  • 본 연구는 청소년 이용자들의 도서관에 대한 인식과 정보이용을 개괄적으로 살펴보고 검색엔진 정보원과 비교한 도서관 정보원 인식, 정보원에 대한 평가 및 각 요소들의 연관성을 살펴보는 것을 목적으로 한다. 이를 위한 데이터는 설문조사로 수집, 기술통계 및 상관분석을 통해 분석되었다. 연구결과, 청소년 집단은 검색엔진 정보원을 가장 선호하는 탐색도구로 사용하며 도서관은 책과 같은 인쇄자료의 접근을 주로 하며 도서관을 자주 이용하지는 않는 것으로 나타났다. 정보원 선택은 사용이 쉽거나 빨리 얻을 수 있는 정보원을 사용하고자 하였고 정보원 비교 등 각 요소들의 상관관계를 확인한 결과 상당히 많은 요소들 사이의 상호연관성이 유의한 차이를 보이는 것으로 나타났다.

공간정보 탐색 방향과 집중정도 분석 알고리즘에 관한 연구 (Study on Analysis Algorithm of Search Direction and Concentration of Spatial Information)

  • 김종하
    • 한국실내디자인학회논문집
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    • 제25권4호
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    • pp.80-89
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    • 2016
  • The analysis of spatial search direction and its concentration through eye movement can produce some useful data in that it enables to know the features of space elements and their effects on one another. The results by analysing the search features and concentration of spatial sections through the eye-tracking in shops in a department store makes it possible to define the followings. First, the features of 'eye's in & out' could be estimated through the division of sections by the characteristics of those shops and the extraction of central point based on the decision of continuative observation. The decision of continuative observations enabled to analyse the frequency of observation data which can be considered to be 'things watched longtime' and the stared points that is equivalent to 'things seen very often', by which the searching characteristics of spatial sections could be estimated. Second, as with the eye's [in], the right shops had 0.6 times more (3.5%) than those left and as with the eye's [out] the left ones had 0.6 times more (3.5%). It indicates that [in, out] of the right and the left shops had the same difference, which lets us know that with starting point of the middle space, [in] and [out] were paid more attention to the right shops and the left shops respectively. Third, as with the searching directions by section, the searching times [2.9 times] from [B] to [A] were than that [2.6 times] from [A] to [B]. It was also found that the left shops had more searching direction toward [C, D] than the right ones and that those searching activities at the left shops were more active. Fourth, when the searching directions by section are reviewed, the frequency of searching from [B] to [A] was 2.9 and that of the other way 2.6. Also the left shops were found to have more searching direction toward [C, D] than the right ones and those searching activities at the left shops were estimated to be more active.

메뉴 상품의 외적 준거 가격 끝수와 소비자 만족의 차이 분석 (An Analysis of Differences on External Reference Price-ending and Consumer Satisfaction in Menu Products)

  • 나태균;김장익
    • 한국조리학회지
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    • 제13권2호
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    • pp.123-135
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    • 2007
  • This study intended to determine how price-ending types used for menu products affected consumers' price evaluation and value perception and such behavioral intentions as purchase intention and search intention. The collected data went through statistical processing, including frequency analysis, factor analysis, T-test and ANOVA using an $SPSS/PC^+$ 12.0 statistical package. The results can be summarized as follows: First, as for differences in internal reference price by ending, internal reference price was lower if menu ending was an odd number than it was an even number, which indicates that consumers tend to consider the price of the menu products to be lower if the ending of menu products is an odd number. Second, menu price-ending was found to have significant differences on consumers' purchase intention, search intention, and value perception. But the results of two-way ANOVA showed that price ending by restaurant types had no effect on consumers' search intention and restaurant type. This study suggested a desirable external reference price-ending type for menu products as one of sales promotion strategies to menu products planners and drew up a concrete plan to determine which price-ending type is useful by consumers' personal properties.

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Utilization of Log Data Reflecting User Information-Seeking Behavior in the Digital Library

  • Lee, Seonhee;Lee, Jee Yeon
    • Journal of Information Science Theory and Practice
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    • 제10권1호
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    • pp.73-88
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    • 2022
  • This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ2 analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

소비자안전 정보탐색에 따른 안전추구행동 (Safety-Oriented Consumer Behavior Associated with Safety Information Search)

  • 오경임;이승신
    • 대한가정학회지
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    • 제50권5호
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    • pp.101-113
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    • 2012
  • This study aims to examine consumer product safety search levels, as well as their response to safety-oriented behavior change, in a bid to use the results in the diverse policy formulation of government and business, and as basic data for securing consumer safety. The findings of this study are outlined as follows. First, for consumer safety information search access and reliability, in the case of access, accessibility via TV and other press media was high, while accessibility via education (seminars, lectures, practice and campaigns) was low. Second, consumer safety-oriented behaviors were examined before and after purchasing products; there was a significant difference associated with monthly income prior to buying products. Third, in order to determine the influence of variables related to consumer safety-oriented behaviors, consumer safety-oriented behaviors as a dependent variable underwent regression analysis; information search access and reliability, and monthly income were found to significantly influence consumer behavior.

빅데이터 검색 정확도에 미치는 다양한 측정 방법 기반 검색 기법의 효과 (Impact of Diverse Document-evaluation Measure-based Searching Methods in Big Data Search Accuracy)

  • 김지영;한다현;김종권
    • 정보과학회 논문지
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    • 제44권5호
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    • pp.553-558
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    • 2017
  • 빅데이터의 공급이 늘어남에 따라, 이로부터 유용한 정보를 추출해내기 위한 학계와 업계의 연구가 활발히 진행 되고 있다. 특히 분석한 정보의 특징과 함께, 정보 검색 시 검색자의 의도를 함께 반영하여 정보를 여과해 주는 것이 대부분의 연구의 최종 목표이다. 정확하게 분석된 자료는 기업이 제공하는 서비스에 대한 사용자의 충성도를 높여주고, 사용자 스스로 보다 효율적이고 효과적으로 정보를 이용할 수 있게 된다. 본 논문에서는 가장 높은 빈도로 사용되는 검색 분야인 기사를 검색하는 경우의 정확도를 높이기 위해, 관련 데이터를 TF-IDF, 결정 트리, 코사인 유사도, 단순 베이지안 분류기 등의 다양한 측도방법으로 평가해 보고, 이를 분석하였다. 또한, 분석 결과를 바탕으로 가장 적합한 측도 방법을 제안한다.

Complexity and Algorithms for Optimal Bundle Search Problem with Pairwise Discount

  • Chung, Jibok;Choi, Byungcheon
    • 유통과학연구
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    • 제15권7호
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    • pp.35-41
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    • 2017
  • Purpose - A product bundling is a marketing approach where multiple products or components are packaged together into one bundle solution. This paper aims to introduce an optimal bundle search problem (hereinafter called "OBSP") which may be embedded with online recommendation system to provide an optimized service considering pairwise discount and delivery cost. Research design, data, and methodology - Online retailers have their own discount policy and it is time consuming for online shoppers to find an optimal bundle. Unlike an online system recommending one item for each search, the OBSP considers multiple items for each search. We propose a mathematical formulation with numerical example for the OBSP and analyzed the complexity of the problem. Results - We provide two results from the complexity analysis. In general case, the OBSP belongs to strongly NP-Hard which means the difficulty of the problem while the special case of OBSP can be solved within polynomial time by transforming the OBSP into the minimum weighted perfect matching problem. Conclusions - In this paper, we propose the OBSP to provide a customized service considering bundling price and delivery cost. The results of research will be embedded with an online recommendation system to help customers for easy and smart online shopping.

개인화된 웹 검색을 위한 선호 기준 분석 (Analysis of Preference Criteria for Personalized Web Search)

  • 이수정
    • 컴퓨터교육학회논문지
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    • 제13권1호
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    • pp.45-52
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    • 2010
  • 웹 문서 수의 급증으로 인해 인터넷을 검색할 때마다 발생하는 정보의 과부하 문제가 심각하게 부각되었다. 웹 검색 결과를 개선하기 위하여 개발된 기존의 알고리즘들은 주로 사용자의 질의어 및 선호어와 문서의 링크수를 이용하였다. 본 연구에서는 실험을 통하여 이 두가지 요소들을 이용한 검색 결과의 성능을 알아보고 이들 요소들 외에 선호하는 웹문서의 선택 기준을 조사 분석하였다. 실험 결과 질의어 및 선호어를 이용한 개인화된 검색 결과는 현 검색 엔진에 비해 최대 약 1.7배의 성능 향상을 가져 왔으며, 링크수를 이용한 검색 결과는 최대 약 1.3배의 향상을 보였다. 사용자가 웹문서를 선호하는 기준은 문서 내용이 최우선이었으나, 가독성과 문서가 포함한 이미지도 큰 비중을 차지하였다. 따라서 질의어 및 선호어 개수 이외에 각 사용자의 성향에 부합하는 객관적 데이터를 추가적으로 활용한다면 웹 검색 개인화 알고리즘의 성능이 크게 향상될 수 있을 것이다.

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웹 포털 이용자 로그 데이터에 기반한 개인화 검색 서비스 모형의 설계 및 평가 (Design and Evaluation of a Personalized Search Service Model Based on Web Portal User Activities)

  • 이소영;정영미
    • 정보관리학회지
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    • 제23권4호
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    • pp.179-196
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    • 2006
  • 이 연구에서는 한국형 포털에 적합한 커뮤니티 기반 개인화검색 서비스 모형을 제안하였다. 개인화 검색 서비스 모형은 이용자의 관심 주제를 파악하는 과정과 이를, 반영한 검색 결과 재순위화 및 관련 주제 카테고리와 질의어 추천 과정으로 구성된다. 개인화 검색 모형의 유용성을 검증하기 위한 실험에서는 포털 사이트 다음에서 12일간 수집한 이용자 로그 데이터를 사용하였다. 실험 결과 개별 이용자의 주제 카테고리 선정에 사용한 카페 활동성 분석과 신지식 활동성 분석 데이터는 매우 유용한 것으로 나타났으며, 개인화 검색 결과와 추천서비스에 대한 만족도도 비교적 높게 나타났다.