• Title/Summary/Keyword: Search frequency

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A Study on Amount of Information Search and Consumer's Post-purchase Satisfaction according to Consumer Information Sources (소비자 정보원에 따른 정보탐색량과 구매후 만족에 관한 연구 -서울특별시 주부 소비자의 냉장고 구매를 중심으로-)

  • Lee, Il-Kyoung;Rhee, Kee-Choon
    • Journal of Families and Better Life
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    • v.10 no.1 s.19
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    • pp.27-42
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    • 1992
  • This study focused on consumer information search activity and consumer's post-purchase satisfaction. For these purpose, a survey was conducted suing questionaires on 430 homemakers that lived in seoul. Statistics used for data were Frequency Distribution. Percentile, Mean, One-way AAANOVA., Scheffe-test, T-test, Pearson's correlation. Multiple Regression Analysis and Multiple Classification Analysis. The major findings were ; 1) The level of each amount information search was lower than average. And the level of consumer's post-purchase satisfaction was a little higher than average. 2) On amount of "noncommercial-personal" information search, the influencing variables were desire to seek information, education, brand royalty in turn. These three variables explained 7% of dependent variable's variance. 3) On amount of "noncommercial-media" information search, the influencing variables were desire to seek information, amount of internal information, education, occupational status in turn. These variables explained 14% of dependent variable's variance. 4) On amount of "commercial-personal" information search, the influencing variable was desire to seek information, and this variable explained 3.1% of dependent variable'a variance. 5) On amount of "commercial-media" information search, the influencing variables were desire to seek information, education, amount of internal information in turn. These three variables explained 12.1% dependent variable's variance. 6) Resulting from multiple classification analysis, influencing variables on consumer's post-purchase satisfaction were amount of noncommercial-media information search and printed media search, and brand royalty. These three variables explained 9% of dependent variable's variance. Furthermore, througout all the subareas of consumer's satisfaction, the amount of noncommercial-media information search was the most influencing variable.

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Evaluating real-time search query variation for intelligent information retrieval service (지능 정보검색 서비스를 위한 실시간검색어 변화량 평가)

  • Chong, Min-Young
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.335-342
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    • 2018
  • The search service, which is a core service of the portal site, presents search queries that are rapidly increasing among the inputted search queries based on the highest instantaneous search frequency, so it is difficult to immediately notify a search query having a high degree of interest for a certain period. Therefore, it is necessary to overcome the above problems and to provide more intelligent information retrieval service by bringing improved analysis results on the change of the search queries. In this paper, we present the criteria for measuring the interest, continuity, and attention of real-time search queries. In addition, according to the criteria, we measure and summarize changes in real-time search queries in hours, days, weeks, and months over a period of time to assess the issues that are of high interest, long-lasting issues of interest, and issues that need attention in the future.

Tabu Search Algorithm for Frequency Reassignment Problem in Mobile Communication Networks (주파수 재할당 문제 해결을 위한 타부 서치 알고리듬 개발)

  • Han, Junghee
    • Journal of Korean Institute of Industrial Engineers
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    • v.31 no.1
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    • pp.1-9
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    • 2005
  • This paper proposes the heuristic algorithm for the generalized GT problems to consider the restrictions which are given the number of machine cell and maximum number of machines in machine cell as well as minimum number of machines in machine cell. This approach is split into two phase. In the first phase, we use the similarity coefficient which proposes and calculates the similarity values about each pair of all machines and sort these values descending order. If we have a machine pair which has the largest similarity coefficient and adheres strictly to the constraint about birds of a different feather (BODF) in a machine cell, then we assign the machine to the machine cell. In the second phase, we assign parts into machine cell with the smallest number of exceptional elements. The results give a machine-part grouping. The proposed algorithm is compared to the Modified p-median model for machine-part grouping.

History taking in enuretic children (야뇨의 병력청취 연구)

  • Chang, Gyu-Tae;Kim, Jang-Hyun;Oh, Ju-Young
    • The Journal of Pediatrics of Korean Medicine
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    • v.18 no.2
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    • pp.77-91
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    • 2004
  • Objectives : In evaluating a child with enuresis, an organized approach to the history leads to a working diagnosis and an appropriate treatment plan. but, there's no study about history taking in enuretic children. This article was undertaken to evaluate the enuretic child exactly and to study nocturnal enuresis systematically. Methods : It was conducted a computerized literature search in following database: Medline (via Pubmed), NDSL, EBSCO. Korean articles via oriental pediatric association homepage, KISS. Key words to search were 'nocturnal enuresis', 'bedwetting', 'enuresis', 'incontinence', 'management', 'evaluation', 'assessment', 'questionnaire', 'guideline', 'voiding dysfunction'. Results : Questions are grouped in eight categories: primary history(sex, age, height, weight), family history, enuresis history(primary/secondary, frequency, time of enuresis, nocturia), voiding history(average number, frequency, pattern, volume, posture, daytime enuresis), medical history, constipation/encopresis, sleep(OSA). Conclusion : A careful, complete history taking will help to plan treatment properly and to study.

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Optimization Model on the World Wide Web Organization with respect to Content Centric Measures (월드와이드웹의 내용기반 구조최적화)

  • Lee Wookey;Kim Seung;Kim Hando;Kang Sukho
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.1
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    • pp.187-198
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    • 2005
  • The structure of a Web site can prevent the search robots or crawling agents from confusion in the midst of huge forest of the Web pages. We formalize the view on the World Wide Web and generalize it as a hierarchy of Web objects such as the Web as a set of Web sites, and a Web site as a directed graph with Web nodes and Web edges. Our approach results in the optimal hierarchical structure that can maximize the weight, tf-idf (term frequency and inverse document frequency), that is one of the most widely accepted content centric measures in the information retrieval community, so that the measure can be used to embody the semantics of search query. The experimental results represent that the optimization model is an effective alternative in the dynamically changing Web environment by replacing conventional heuristic approaches.

A Study on Metaverse Hype for Sustainable Growth

  • Lee, Jee Young
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.72-80
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    • 2021
  • Metaverse is an immersive 3D virtual environment, a true virtual artificial community in which avatars act as the user's alter ego and interact with each other. If we do not manage the hype for the metaverse, which has recently been receiving a surge in interest, the metaverse will fail to cross the chasm. In this study, to provide stakeholders with insights for the successful introduction and growth of the 3D immersive next-generation virtual world, metaverse, we analyzed user-side interest, media-side interest, and research-side interest. For this purpose, in this study, search traffic, news frequency and topic, and research article frequency and topic were analyzed. The methodology and results of this study are expected to provide insight for the stable success of metaverse transformation and the coexistence of the real world and the virtual world through hyper-connection and hyper-convergence.

Selecting a key issue through association analysis of realtime search words (실시간 검색어 연관 분석을 통한 핵심 이슈 선정)

  • Chong, Min-Yeong
    • Journal of Digital Convergence
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    • v.13 no.12
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    • pp.161-169
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    • 2015
  • Realtime search words of typical portal sites appear every few seconds in descending order by search frequency in order to show issues increasing rapidly in interest. However, the characteristics of realtime search words reordering within too short a time cause problems that they go over the key issues of the day. This paper proposes a method for deriving a key issue through association analysis of realtime search words. The proposed method first makes scores of realtime search words depending on the ranking and the relative interest, and derives the top 10 search words through descriptive statistics for groups. Then, it extracts association rules depending on 'support' and 'confidence', and chooses the key issue based on the results as a graph visualizing them. The results of experiments show that the key issue through association rules is more meaningful than the first realtime search word.

The Design of Motion Estimation Hardware for High-Performance HEVC Encoder (고성능 HEVC 부호기를 위한 움직임추정 하드웨어 설계)

  • Park, Seungyong;Jeon, Sunghun;Ryoo, Kwangki
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.3
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    • pp.594-600
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    • 2017
  • This paper proposes a global search based motion estimation algorithm for high performance HEVC encoder and its hardware architecture. To eliminate temporal redundancy, motion estimation in HEVC inter-view prediction uses global search and fast search algorithm to search for a predicted block having a high correlation with the current PU in an interpolated reference picture. The global search method predicts the motion of all candidate blocks in a given search area, thus ensuring optimal results, but has a disadvantage of large computation time. Therefore we propose a new algorithm that reduces computational complexity by reusing SAD operation in global search to reduce computation time of inter prediction. As a result of applying the proposed algorithm to standard software HM16.12, the computation time was reduced by 61%, BDBitrate by 11.81%, and BDPSNR by about 0.5% compared with the existing search algorithm. As a result of hardware design, the maximum operating frequency is 255 MHz and the total number of gates is 65.1K.

Design and Implementation of Ontology-Based Natural Language Search System (온톨로지 기반의 자연어 검색 시스템 설계 및 구현)

  • Kang, Rae-Goo;Lim, Dong-Il;Jung, Chai-Yeoung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.875-878
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    • 2007
  • Up until now, when a user search product information, the keyword-based search that mainly uses frequency of words or vocabulary information has been utilized in large. In the keyword-based research, the user should have to bear additional burden in order to search the displayed results manually once again because it shows those files that have no connection at all with the inquiries made by the user. To resolve such a problem, ontology has been emerged. In this paper, product search system using ontology was constructed directly and also tested how accurate search it does perform through the searching according to classification. To test this, about 40,000 product data of A discount store, which was operating on/off line discount stores, were constructed as database, and developmental environment for User Interface was tested by having developed the search system using JSP and PowerBuilder 9.0. Results from the test proved that the search method using Domain Ontology for product presented and designed in this paper was superior to the existing keyword-based search method.

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A Study on Information Search and Fashion Involvement as related to the Degree of Adolescent Delinquency (청소년의 비행정도와 정보탐색 및 유행몰입과의 관계연구)

  • 이은실;이명희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.23 no.3
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    • pp.402-413
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    • 1999
  • The objectives of this study were to investigate the relationships among the degree of delinquency and clothing buying behavior information search and fashion involvement and to examine the causal relationships of adolescent delinquency demographic variables and fashion involvement on information search. Subjects for this study were 537 high school students(male ; 225, female : 312) in Seoul Korea. the results of the study were as follow. 1. Four factors of adolescent's delinquency derived by factor analysis : F. 1 'general position delinquency' F. 2 'school-norm delinquency' F3. 'personal delinquency' : F.4 'sexual delinquency'. 2. There were partially significant correlations between the degree of adolescent's delinquency and information search and fashion involvement. There were significant relationships between degree of delinquency and degree of clothing purchasing frequency. companion while shopping and source of clothing expenses. 3. In the case of male students fashion involvement and sexual delinquency had a direct effect on information search(R2 =.278) General position delinquency and allowance had a indirect effect on information search through Father's level of education had a direct effect on allowance. the present findings provide that in general the more allowance students received the higher the general position delinquency for both males and females, The higher the general position delinquency the higher the degree of fashion involvement and information search. Therefore it can be concluded that relatively mild delinquency acts such as drinking. smoking and going to discothque have more influence on fashion involvement and information search that serious delinquency acts such as violence and robbery.

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