• Title/Summary/Keyword: 이용자 로그 분석

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An Analysis of Library Culture Program Management based on Users' Participation Logs: A Case Study of National Library of Korea, Sejong (이용자 참여 로그 기반 도서관 문화프로그램 운영현황 분석: 국립세종도서관 사례를 통해)

  • Choi, Doo-Won;Gang, Ju-Yeon;Yang, Dongmin;Lee, Hyunju;Oh, Hyo-Jung
    • Journal of Korean Library and Information Science Society
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    • v.49 no.1
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    • pp.293-320
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    • 2018
  • This study aims to analyze library culture-program management and propose methods for improving the program management. To achieve this research goal, this study examines current state of culture-program management and user's participation by analyzing users' participation logs of the National Library of Korea, Sejong. The users' participation logs have been accumulated from May, 2015, to December, 2017, and the logs contain 722 program data, 24,816 program participation data, and 6,729 users data. The data were used for analyzing of program management, users' characteristics, and changes based on timelines. Based on the analysis results, culture-program management problems were pointed out and future improvement methods for solving the problems were proposed. This study analyzes culture-program management in view of users using real users' participation logs, and it has significance for being different from preceding researches focusing on culture-program providers.

Information Seeking Behavior of the NAVER Users via Query Log Analysis (질의 로그 분석을 통한 네이버 이용자의 검색 형태 연구)

  • Lee, Joon-Ho;Park, So-Yeon;Kwon, Hyuk-Sung
    • Journal of the Korean Society for information Management
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    • v.20 no.2
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    • pp.27-41
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    • 2003
  • Query logs are online records that capture user interactions with information retrieval systems and all the search processes. Query log analysis offers ad advantage of providing reasonable and unobtrusive means of collecting search information from a large number of users. In this paper, query logs of NAVER, a major Korean Internet search service, were analyzed to investigate the information seeking behabior of NAVER users. The query logs were collected over one week from various collecions such as comprehensive search, directory search and web ducument searc. It is expected that this study could contribute to the development and implementation of more effective web search systems and services.

Using Transaction Logs to Better Understand User Search Session Patterns in an Image-based Digital Library (이미지 기반 디지털 도서관에서 이용자 검색 패턴의 효과적 이해를 위한 트랜잭션 로그 데이터 분석)

  • Han, Hye-Jung;Joo, Soohyung;Wolfram, Dietmar
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.25 no.1
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    • pp.19-37
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    • 2014
  • Server transaction logs containing complete click-through data from a digital library of primarily image-based documents were analyzed to better understand user search session behavior. One month of data was analyzed using descriptive statistics and network analysis methods. The findings reveal iterative search behaviors centered on result views and evaluation and topical areas of focus for the search sessions. The study is novel in its combined analytical techniques and use of click-through data for image collections.

Analysis of the Candidate Terms and Structure Using the Log-data (로그데이터를 이용한 디스크립터의 외형적 특성 분석)

  • Nam, Young-Joon;Lee, Too-Young
    • Proceedings of the Korean Society for Information Management Conference
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    • 2004.08a
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    • pp.61-66
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    • 2004
  • 본 연구에서는 시소러스를 구축하기 위해 필요한 디스크립터 수집원으로써 이용자 로그데이터를 분석하여 후보 디스크립터의 외형적 특성을 분석하였다. 분석대상인 이용자 로그데이터는 국내 검색엔진가운데 야후와 라이코스를 대상으로 하였다. 분석결과, 이용자들은 대부분 검색어로써 명사와 복합명사를 사용하였으며, 조사 '의'이외에는 다른 품사로 이루어진 검색어는 거의 존재하지 않음을 알 수 있었다. 또한 검색어로써 이용자들은 고유명사(외국어 포함)를 많이 사용함으로써, 국내외 지침에서 권고하는 고유명사의 최소한 사용지침과 실제 이용자 사이의 이용행태와의 차이를 알 수 있었다. 따라서 국내외 시소러스 개발지침을 수용하면서, 이용자 중심의 시소러스를 개발하기 위해서는 전거어나 유사어 사전을 대등관계와 연동하여 개발하는 것을 고려해야 한다.

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Applications of Transaction Log Analysis for the Web Searching Field (웹 검색 분야에서의 로그 분석 방법론의 활용도)

  • Park, So-Yeon;Lee, Joon-Ho
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.1
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    • pp.231-242
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    • 2007
  • Transaction logs capture the interactions between online information retrieval systems and the users. Given the nature of the Web and Web users, transaction logs appear to be a reasonable and relevant method to collect and investigate information searching behaviors from a large number of Web users. Based on a series of research studies that analyzed Naver transaction logs, this study examines how transaction log analysis can be applied and contributed to the field of web searching and suggests future implications for the web searching field. It is expected that this study could contribute to the development and implementation of more effective Web search systems and services.

Investigating Web Search Behavior via Query Log Analysis (로그분석을 통한 이용자의 웹 문서 검색 행태에 관한 연구)

  • 박소연;이준호
    • Journal of the Korean Society for information Management
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    • v.19 no.3
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    • pp.111-122
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    • 2002
  • In order to investigate information seeking behavior of web search users, this study analyzes transaction logs posed by users of NAVER, a major Korean Internet search service. We present a session definition method for Web transaction log analysis, a way of cleaning original logs and a query classification method. We also propose a query term definition method that is necessary for Korean Web transaction log analysis. It is expected that this study could contribute to the development and implementation of more effective Web search systems and services.

User Information Needs Analysis based on Query Log Big Data of the National Archives of Korea (국가기록원 질의로그 빅데이터 기반 이용자 정보요구 유형 분석)

  • Baek, Ji-yeon;Oh, Hyo-Jung
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.183-205
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    • 2019
  • Among the various methods for identifying users's information needs, Log analysis methods can realistically reflect the users' actual search behavior and analyze the overall usage of most users. Based on the large quantity of query log big data obtained through the portal service of the National Archives of Korea, this study conducted an analysis by the information type and search result type in order to identify the users' information needs. The Query log used in analysis were based on 1,571,547 query data collected over a total of 141 months from 2007 to December 2018, when the National Archives of Korea provided search services via the web. Furthermore, based on the analysis results, improvement methods were proposed to improve user search satisfaction. The results of this study could actually be used to improve and upgrade the National Archives of Korea search service.

An Analysis of Library User and Circulation Status based on Bigdata Logs A Case Study of National Library of Korea, Sejong (빅데이터 로그 기반 도서관 이용자 및 대출 현황 분석 - 국립세종도서관을 중심으로 -)

  • Kim, Tae-Young;Baek, Ji-Yeon;Oh, Hyo Jung
    • Journal of Korean Library and Information Science Society
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    • v.49 no.2
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    • pp.357-388
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    • 2018
  • This study aims to analyze library user and circulation status based on the bigdata logs to identify characteristics by user group and propose methods for efficient management of library. The logs to be analyzed consist of user information, circulation information, service usage information registered at the National Library of Korea, Sejong. The user information logs contain 107,369 age data, 106,918 gender data, 106,838 residential data. The circulation information logs contain 536,083 circulation user data, 6,509,369 circulation count data, and the service usage information logs contain 82,813 data. For the analysis of characteristics by user group, the data were used for analyzing user status by age, gender, residence and circulation status by year, month, day. In addition, this study conducts FGI(Focus Group Interview) and linkage analysis with external data to identify factors for analysis results. Based on analysis results, improvement methods for helping library make effective decision-making were proposed. This study analyze empirically user and circulation status based on bigdata logs, and it has significance for being different form proceeding researches with less analysis data.

An Analysis of Query Types and Topics Submitted to Navel (클릭 로그에 근거한 네이버 검색 질의의 형태 및 주제 분석)

  • Park Soyeon;Lee Joon-Ho;Kim Ji Seoung
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.1
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    • pp.265-278
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    • 2005
  • This study examines web query types and topics submitted to Naver during one year period by analyzing query logs and click logs. Query logs capture queries users submitted to the system, and click logs consist of documents users clicked and viewed. This study presents a methodology to classify query types and topics. A method for click log analysis is also suggested. When classified by query types, there are more site search queries than content search queries. Queries about computer/internet. entertainment, shopping. game, education rank hightest. The implications for system designers and web content providers are discussed.

Directory Access Behavior of the NAVER users via Log Analysis (로그 분석을 통한 네이버 이용자의 디렉토리 접근 행태에 관한 연구)

  • 배희진;이준호;박소연
    • Journal of Korean Library and Information Science Society
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    • v.35 no.1
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    • pp.1-17
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    • 2004
  • Most web portals provide a web directory service which selects and classifies web sites according to their subject matter. In order to investigate the directory access behavior of general Korean web users, this study analyzes directory access logs of NAVER, a major Korean web search engine. This study suggests a methodology to classify the total sessions into six different session types. This study also discusses directory access behaviors of the NAVER users by examining the distribution of sessions according to session types, the lengths of navigation within a session, and the most frequently visited categories. It is expected that this study could contribute to the development of more effective web directory services.

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