• Journal of the Korean Society for Library and Information Science
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• v.16
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• pp.243-279
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• 1989

Public library effectiveness is determined by a complexity of the internal and external environments of the library. The purpose of this article is to investigate community environments and library resources as determinants of the output measures of the 15 municipal libraries in Seoul and to cope with changes in the environments for the improvement of their performance. This study is based on the hypotheses that the library's output would be proportioned to the size of budget and library collection, and to the relationships between the characteristics of the library and of the community in which the library develops. The variables identified in this .study are population density, family size, institutions (social, cultural, financial and educational), presence of the mass media, size of service area, and economic level of the community. The output measures employed for analysis are: number of professional staff, expenditures, number of books in the collection, number of books added annually, total circulation, number of library visits, circullation per capita, library visits per capita, .and registration as a percentage of population. The recommendation made in this study is the innovation of the 15 libraries in organization.

• Journal of Korean Library and Information Science Society
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• v.52 no.4
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• pp.205-228
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• 2021

This study focuses on the development of checklist on articulating reading appreciation, which will be used as the initial data for book recommendation for library users. As reading comprehension is prerequisite for reading appreciation, researchers analyzed research articles on reading comprehension to find out the core factors on reading comprehension and categorize them. Studies on reader response theory and literacy education were also examined: key words and phrases that will stimulate readers' response to reading were extracted and formed as questions. These questions were reviewed by experts on reading education. The final checklist consists of 14 questions - 4 questions on literal·inferential comprehension, 3 on evaluative comprehension, and 3 on appreciative comprehension.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.59-78
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• 2006

The purpose of this study is to make an recommendation for planning of widely representative library building in Jeollabuk-do based on the standards of three library components; facilities. materials and personnel. For research, the methodology of analysis of literature and case study on already established representative libraries was conducted. And the analysis on regional current circumstance to obtain standards of the representative library was conducted. As a results of this study a model of widely representative library building is presented regards on location, facilities and organization.

• Journal of Korean Library and Information Science Society
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• v.52 no.4
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• pp.127-152
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• 2021

The purpose of this study is to analyze the aspects of teacher librarians' book recommendation services for individual readers. For this purpose, data were collected through in-depth interviews with the teacher librarians of elementary school. Through the analysis of the collected data, the process of the teacher librarians' book recommendation, the main characteristics of the book recommendation, and the factors considering in the book recommendation, as well as information on major issues that arise in the book recommendation activity were derived and presented. Specifically, it was confirmed that the teacher librarians's book recommendation process was implemented in the following stages: questioning and interviewing, book recommendation, and follow-up. And, it was investigated that the factors considered when recommending books were students' interest, reading history, book fun, reading level, book level, teacher, class, and curriculum. In addition, it was confirmed that differences occurred in the experiences and perceptions of teacher librarians in the process of considering these factors. These results can provide the implications for resolving the problems of the teacher librarians who perform book recommendation services.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.4
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• pp.283-308
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• 2012

With explosive growth of information by recent advancements in information technology and the Internet, users need a method to acquire appropriate information. To solve this problem, an information retrieval and filtering system was developed as an important tool for users. Also, users and service providers are growing more and more interested in personalized information recommendation. This study designed and implemented personalized information recommendation system based on AR as a method to provide positive information service for information users as a method to provide positive information service. To achieve the goal, the proposed method overcomes the weaknesses of existing systems, by providing a personalized recommendation method for contents that works in a large-scaled data and user environment. This study based on the proposed method to extract rules from log files showing users' behavior provides an effective framework to extract Association Rule.

• Journal of Korean Library and Information Science Society
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• v.37 no.4
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• pp.305-325
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• 2006

This paper analyzed the contents of librarians' proclamations, recommendations and official letters stated on the library issues. Library issues included contracting out, outsourcing and name changes of public library, The background information on these issues was also analyzed and the research papers were studied to find out solutions of the issues.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.3
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• pp.41-69
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• 2020

The purpose of this study is to design and develop a alternative material recommendation system using automatic classification, based on user preference. Details of usage data by users from DREAM was analysed in order to develop the way of a method on selecting proper alternative material, and then the data by user preference were allocated under each category of 10 KDC categories. The keyword, selected from the title of users' usage data from a certain period of time, were divided into 10 subject categories and ranked by the order of frequency of appearance. Books including high frequency of the keyword in title can be selected as a preferred target for producing alternative materials. Lastly, a dynamic linkage for sharing usage data among National Library for the Disabled and other libraries is proposed to produce more proper alternative materials, based on user preference.

• Journal of the Korean Society for information Management
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• v.24 no.2
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• pp.89-104
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• 2007

This research attempts to give a personalized recommendation framework in large-sized music contents environment. Despite of existing studios and commercial contents for recommendation systems, large online shopping malls are still looking for a recommendation system that can serve personalized recommendation and handle large data in real-time. This research utilizes data mining technologies and new pattern matching algorithm. A clustering technique is used to get dynamic user segmentations using user preference to contents categories. Then a sequential pattern mining technique is used to extract contents access patterns in the user segmentations. And the recommendation is given by our recommendation algorithm using user contents preference history and contents access patterns of the segment. In the framework, preprocessing and data transformation and transition are implemented on DBMS. The proposed system is implemented to show that the framework is feasible. In the experiment using real-world large data, personalized recommendation is given in almost real-time and shows acceptable correctness.

• Journal of Korean Library and Information Science Society
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• v.53 no.1
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• pp.231-263
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• 2022

The understanding and capability to utilize artificial intelligence (AI) incorporated technology has become a required basic skillset for the people living in today's information age, and various members of the university have also increasingly become aware of the need for AI education. Amidst such shifting societal demands, both domestic and international university libraries have recognized the users' need for educational content centered on AI, but a user-centered service that aims to provide personalized recommendations of digital AI educational content is yet to become available. It is critical while the demand for AI education amongst university students is progressively growing that university libraries acquire a clear understanding of user intention towards an AI educational content recommender system and the potential factors contributing to its success. This study intended to ascertain the factors affecting acceptance of such system, using the Extended Technology Acceptance Model with added variables - innovativeness, self-efficacy, social influence, system quality and task-technology fit - in addition to perceived usefulness, perceived ease of use, and intention to use. Quantitative research was conducted via online research surveys for university students, and quantitative research was conducted through written interviews of university librarians. Results show that all groups, regardless of gender, year, or major, have the intention to use the AI-related Educational Content Recommendation System, with the task suitability factor being the most dominant variant to affect use intention. University librarians have also expressed agreement about the necessity of the recommendation system, and presented budget and content quality issues as realistic restrictions of the aforementioned system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.4
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• pp.139-157
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• 2022

Finding and selecting proper reviewers is a burden on the publisher of the journal. In order to solve this problem, the online submission system started to recommend appropriate reviewers automatically. It includes a variety of new features, from recommending authors in the references of submitted papers as reviewers to finding similar papers by searching the citation index and suggesting reviewer candidates extensively. This study investigated how the online submission system provides functions such as recommendation of reviewers. As a result of examining major online submission systems, ScholarOne and Editorial Manager were recommending reviewer candidates by commercial citation index and review history platform. On the other hand, JAMS, a domestic online submission system, did not have any advanced functions such as recommendation of candidates for reviewers. Sooner or later, in Korea, it seems that more efforts should be made to improve the function of online submission system, such as recommending suitable reviewers for papers.