• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.34 no.3
• /
• pp.297-318
• /
• 2023

The purpose of this study is to propose criteria for selecting picture books as various reading education materials for middle school students and to check whether it can be applied to book selection. First, identified the educational value of picture books as reading materials and the criteria for selecting picture books by academic field through previous studies. After integrating the commonalities of various picture book selection criteria presented in previous studies by categorizing them into illustrations, text, and other categories. And it devised selection criteria that can be applied after selecting middle school students as readers. Based on the unified picture book selection criteria, a survey was conducted to ask in-service librarians about the main criteria to consider when selecting picture books for middle school students, and intensive interviews were conducted with experts who have experience in picture book education. As a result, the picture book selection criteria from previous studies were revised and supplemented with two criteria related to text, four criteria related to pictures, and five other criteria, and presented as picture book selection criteria for middle school students. To verify the practicality of the picture book selection criteria, it checked the applicability of each category of criteria to picture books recommended by the Children's Book Research Society (ages 13 and older). Out of 22 picture books for middle school students, 15 books could be applied to all categories of the selection criteria, showing significant practicality.

• Journal of Korean Library and Information Science Society
• /
• v.54 no.4
• /
• pp.255-279
• /
• 2023

The purpose of this study is to derive implications through a comparison of the current status of catalog enriched content services provision in U.S. public libraries and domestic public libraries. In addition, we are seeking ways to improve the catalog enriched content services for domestic public libraries in the future. From early September to mid-October 2023, specific books were searched on public library websites in the U.S. and Korea, and the functions of the enriched content services shown in the search results were compared. The results are as follows: First, domestic public library enriched content services require a separate company to develop and provide an enriched content services solution. Second, the enriched content services platform must discover domestic information sources that can be utilized in the areas of book-centered, book recommendation, and community engagement. Third, it is necessary to develop enriched content using public data such as the Library Information Naru. Fourth, each integrated library must that data generated from local community engagement services can be utilized as an enriced content service.

• Journal of Digital Convergence
• /
• v.18 no.1
• /
• pp.301-307
• /
• 2020

In recent years, a recommendation system is introduced in many different fields with the beginning of the 5G era and making a considerably prominent appearance mainly in books, movies, and music. In such a recommendation system, however, the preference degrees of users are subjective and uncertain, which means that it is difficult to provide accurate recommendation service. There should be huge amounts of learning data and more accurate estimation technologies in order to improve the performance of a recommendation system. Trying to solve this problem, this study proposed a movie recommendation system based on Fuzzy-AHP and Word2vec. The proposed system used Fuzzy-AHP to make objective predictions about user preference and Word2vec to classify scraped data. The performance of the system was assessed by measuring the accuracy of Word2vec outcomes based on grid search and comparing movie ratings predicted by the system with those by the audience. The results show that the optimal accuracy of cross validation was 91.4%, which means excellent performance. The differences in move ratings between the system and the audience were compared with the Fuzzy-AHP system, and it was superior at approximately 10%.

• Journal of Korean Library and Information Science Society
• /
• v.53 no.1
• /
• pp.231-263
• /
• 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 Korean Library and Information Science Society
• /
• v.41 no.1
• /
• pp.149-165
• /
• 2010

In this research, we analyze about the general service provided by Society of Korean journal articles of science and technology. Personalized retrieval services which are suitable to the articles service were developed based on this. That is, there are personalized retrieval system based on user's keyword, authors navigation system, automatic topic recommendation system based on author's keyword, and similar user automatic recommendation system. In this research, personalized service methods being suitable to the articles service of Society tries to be considered through the user survey.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.27 no.4
• /
• pp.5-20
• /
• 2016

Discovery service has as its object to cope with the user to take advantage of the collection of the library as possible to index and search, one step further, the interface by more efficiently to the user's information needs. Discovery service has features such as providing a ranking and navigation services to subdivide the search results by facet results along the suitability and visually rich display, suggestions, recommendations associated resources. In this study introduces the status of discovery services such as discovery service products, usage status, and features, and compares and analyzes the use agencies, content status, main functions, and features of the three discovery services used in Korea library.

• Journal of Korean Library and Information Science Society
• /
• v.49 no.4
• /
• pp.265-294
• /
• 2018

Nowadays, due to an explosive increase in information, information filtering is very important to provide proper information for users. Users hardly obtain scholarly information from a huge amount of information in NDSL of KISTI, except for simple search. In this paper, we propose the service, PIN to solve this problem. Pin provides the word cloud including analyzed users' and others' interesting, co-occurence, and searched keywords, rather than the existing word cloud simply consisting of all keywords and so offers user-customized papers, reports, patents, and trends. In addition, PIN gives the paper classification in NDSL according to keyword matching based classification with the overlapping classification enabled-academic classification system for better search and access to solve this problem. In this paper, Keywords are extracted according to the classification from papers published in Korean journals in 2016 to design classification model and we verify this model.

• Journal of Korean Library and Information Science Society
• /
• v.53 no.2
• /
• pp.95-115
• /
• 2022

The purpose of this study is to transform the sub-categorization terms of the National Science and Technology Standards Classification System into technical keywords by applying a machine learning algorithm. For this purpose, AttentionMeSH was used as a learning algorithm suitable for topic word recommendation. For source data, four-year research status files from 2017 to 2020, refined by the Korea Institute of Science and Technology Planning and Evaluation, were used. For learning, four attributes that well express the research content were used: task name, research goal, research abstract, and expected effect. As a result, it was confirmed that the result of MiF 0.6377 was derived when the threshold was 0.5. In order to utilize machine learning in actual work in the future and to secure technical keywords, it is expected that it will be necessary to establish a term management system and secure data of various attributes.

• Journal of the Korean Society for information Management
• /
• v.29 no.4
• /
• pp.251-271
• /
• 2012

Subject headings support the effective access of children's picture books. However, it is difficult to select subject terms from titles or table of contents in children's picture books because of their relatively little textual information. Therefore, it is necessary to assign subject terms to each picture book. However, it is not adequate to use general subject headings because the types and levels of general subject headings are different from special subject headings for the children's materials. For this reason, this study aims to develop subject headings for children's picture books. The subject terms in A to Zoo were selected, and the selected terms were translated into Korean and modified for the Korean culture and language. Other reference books, such as Elementary Korean Dictionary, were also used to determine adequate terms for children. The resulting subject headings were assigned to the recommended picture books for children and used to search by subject, browse, and recommend books.

• Journal of Korean Library and Information Science Society
• /
• v.54 no.2
• /
• pp.23-42
• /
• 2023

The library tour program is a new type of cultural program that was first introduced and operated by J City, and library tourists travel to specialized libraries in the city according to a set course and experience various experiences. This study aims to build a customized course recommendation model that considers the characteristics of individual participants in addition to the existing fixed group travel format so that more users can enjoy the opportunity to participate in library tours. To this end, the characteristics of library travelers were categorized to establish traveler personas, and library evaluation items and evaluation criteria were established accordingly. We selected 22 libraries targeted by the library travel program and measured library data through actual visits. Based on the collected data, we derived the characteristics of suitable libraries and developed a persona-based library tour course recommendation model using a decision tree algorithm. To demonstrate the feasibility of the proposed recommendation model, we build a mobile application mockup, and conducted user evaluations with actual library users to identify satisfaction and improvements to the developed model.