• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.101-121
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• 2012

Since IR systems which adopt only Boolean IR model can not provide ranked search result, users have to conduct time-consuming checking process for huge result sets one by one. This study proposes a method to provide search results ranked by using coupling information between tags instead of index weight information in Boolean IR model. Because document queries are used instead of general user queries in the proposed method, key tags used as queries in a relevant document are extracted. A variety of groups of Boolean queries based on tag couplings are created in the process of extracting queries. Ranked search result can be extracted through the process of matching conducted with differential information among the query groups and tag significance information. To prove the usability of the proposed method, the experiment was conducted to find research trend analysis information on selected research information. Aslo, the service based on the proposed methods was provided to get user feedback for a year. The result showed high user satisfaction.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.133-146
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• 2022

Despite the fact that Internet users around the world watch YouTube every day, very few users accurately recognize the recommendation algorithm for search results, and Google and YouTube are not disclosing it. Researchers tried to explore the undisclosed algorithm of YouTube in a reverse engineering design method, find key factors, and check the logical structure in which media platform operators recommend keyword search results and arrange them on the screen. Therefore, researchers studied the basic content priority factors through several months of discussion and data collection, and tried to reverse engineer the influencing factors based on the recommendation results according to male and female gender among the collected keyword search results. Although researchers' design only analyzed some of the almost infinite level of data uploaded and viewed for more than hundreds of hours every hour, these exploratory attempts will study media platform algorithms in the future, understand the intentions of operators, and protect users. thought it could be done.

• Information Systems Review
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• v.23 no.3
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• pp.77-96
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• 2021

This research investigates the pivotal role of AI-enabled technologies in vitalizing the local economy. Collaborating with a leading search engine company, we examine the direct and indirect of an AI-based location search service on the success of sampled 7,035 local restaurants in Gangnam area in Seoul. We find that increased use of AI-enabled search and recommendation services significantly improved the selections of previously less-discovered or less-popular restaurants by users, and it also enhanced the stores' overall conversion rates. The main research findings have contributions to extant literature in theorizing the value of AI applications in local economy and have managerial implications for search businesses and local stores by recommending strategic use of AI applications in their businesses that are effective in highly competitive markets.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3677-3688
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• 2011

The patent information retrieval system can serve a variety of purposes. In general, the patent information is retrieved using limited key words. To identify earlier technology and priority rights repeated effort is needed. This study proposes a method of content-based retrieval using text mining. Using the proposed algorithm, each of the documents is invested with characteristic value. The characteristic values are used to compare similarities between query documents and database documents. Text analysis is composed of 3 steps: stop-word, keyword analysis and weighted value calculation. In the test results, the general retrieval and the proposed algorithm were compared by using accuracy measurements. As the study arranges the result documents as similarities of the query documents, the surfer can improve the efficiency by reviewing the similar documents first. Also because of being able to input the full-text of patent documents, the users unacquainted with surfing can use it easily and quickly. It can reduce the amount of displayed missing data through the use of content based retrieval instead of keyword based retrieval for extending the scope of the search.

• Journal of the Korean Society for information Management
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• v.17 no.2
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• pp.85-100
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• 2000

Meta search engines have been used as the first engine because they let users several search engines at once for their queries and give them the search results. The purpose of this study is to examine the features and functions of 17 meta search engines in order that it helps users select and execute effective searches on meta search engines. Each selected engine is analyzed based on the criteria evaluating both meta search engines and general search engines. The results show that each meta search engine has its own characteristics while there are common features among them. It is expected that the results of this study will help users utilize meta search engines and provide meta search engine designer basic ideas.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.99-118
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• 2014

This paper carried out co-word analysis of noun and noun phrase using text-mining technique in order to grasp the research trends on domestic and international information science articles. It was conducted based on collected titles and articles of the papers published in the Journal of the Korean Society for Information Management (KOSIM) and Journal of American Society for Information Science and Technology (JASIST) from 1990 to 2013. By dividing whole period into five publication window, this paper was organized into the following processes: 1) analysis of high frequency co-word pair to examine the overall trends of both information science articles 2) analysis of each word appearing with high frequency keyword to grasp the detailed subject 3) focused network analysis of trend after 2010 when distinctively new keyword appeared. The result of the analysis shows that KOSIM has considerable portion of studies conducted regarding topics such as library, information service, information user and information organization. Whereas, JASIST has focused on studies regarding information retrieval, information user, web information, and bibliometrics.

• 대한공업교육학회지
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• v.40 no.2
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• pp.216-238
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• 2015

The purpose of this study was to identify the improvement plan of Korea Network for Occupations and Workers(KNOW) in terms of the information quality and usefulness for undergraduate students.'Homework of occupational information exploration'as research instrument was assigned to the engineering students taking career courses at KoreaTech in Chungnam province, Korea. Data was collected from two-hundred sixty six college students. The main results were as follows: The percentage of awareness of KNOW was very low(7.5%), but the mean of preference(73.5) and usefulness of career readiness(70.6) of KNOW were likely to be high. The information quality of KNOW was analysed in terms of both menu bar and evaluative components. In menu bar, the highest mean of information quality was'wage, job satisfaction, and job outlook'menu bar(71.7). On the other hand'task information on the job'had the lowest mean. In evaluative component, the highest mean of information quality was understandability(73.4), whereas the completeness was at the bottom(63.7). These results implied that the KNOW has the usefulness for engineering students to explore the occupational information and to make ready for career. Nevertheless, it is needed to publicize KNOW and to redeem menu bar and contents for the improvement of this online system.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.539-559
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• 2019

One of the fundamental roles of libraries is to provide users with efficient and easy retrieval of materials. Various discussions have been made at domestic and abroad to improve the accessibility of materials by category, user, and collection, and at the center of this is the issue of improving classification and cataloging systems. However, there are few studies in this area dealing with the data accessibility of the DLS catalog, which is a central tool for accessing domestic school library materials. This study started from the appeal of school library users to the difficulty of searching and accessing books, especially literature. This study is an exploratory study that attempts to derive problems by finding the causes of there difficulties from various aspects. To this study, we surveyed and analyzed the current status of school library collections, the data registration of the school library support system DLS, the subject accessibility of catalog records produced through this, and the recognition and opinions of school library professionals. As a result, school library collections were highly concentrated in the literature field, and it was found that there was not enough catalog bibliographic records to provide efficient access to these collections. In addition, it was found to be somewhat lacking through the DLS search function to compensate for this. Surveys of school librarians and librarians have also identified this problem, and a rich topic index and search keyword assignments have been drawn to the majority of opinions as a way to improve access to materials in school library catalogs. As a continuous discussion on this subject, the plan for improving access to school library materials will be more concrete through future user studies and new challenges for bookshelf classification.

• Journal of Korean Library and Information Science Society
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• v.42 no.2
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• pp.257-276
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• 2011

The purpose of this study is to compare and analyze the functions and characteristics of search interfaces of Korean Old and Rare Collection Information System(KORCIS) and Korean History Online. The checklist of OPAC functionalities proposed by Breeding was used to examine eleven functions of these systems. Both system provide the following functions: Search by keywords; Boolean operators in queries; Order results chronologically; Modify search without re-keying the initial terms ; Search within result sets ; and Ability to limit results to an individual library or education. They do not provide such functions as Browse by author, title, subject and View and recall the search history for the current session. Adoption of standard OPAC and next-generation catalog functionalities, in-depth understanding of user needs and information seeking behaviors, and the improvement of subject access to these systems are suggested in this study.

• Journal of Information Management
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• v.40 no.1
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• pp.29-46
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• 2009

Theses and Dissertation(TD) have been considered one of valuable scholarly resources, while there have existed some limitations to collect, organize, and provide them. The purpose of this study is to investigate users' perception on six TD services from five institutions and to propose improvement strategies. Six TD services includes National Library, National Assembly Library, RISS, dCollections, NDSL, and Council of Theses and Dissertation Common Use. Based on the survey results from 151 users, the findings of this study identified that National Assembly Library and RISS were preferred by users. In addition, users preferred keyword, full text, department, abstract, table of contents, as well as title and author over other bibliographic information. More importantly, users needs were placed on whether specific TD services provide full text or not. In case that is not possible to provide full text, users have a preference for full text link information. As a result, in order to improve the TD services, service promotion activities, diverse access points, and full text provision are desirable.