• Journal of Digital Convergence
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• v.16 no.4
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• pp.329-334
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• 2018

According to the textbook utilization survey, university students buy 6.4 books and spend 94,000 won per semester. However, nearly half of books are left unused. Therefore many students buy used textbooks instead of buying new books at a fixed price. The existing used textbook trading platforms support basic functions, but don't support textbook recommendation function and reference book recommendation function. In this paper, we developed a used textbook trading platform BookCue that provides textbook recommendation function, reference book recommendation function, and consignment trading function reflecting the regional characteristics. It is expected that will contribute to reduce university students' burden that buying textbook by forming textbooks trading environment and preserve environment. In the near future our platform will need to expand to a platform that deals with a variety of goods, as well as used textbooks in the region.

• Journal of the Korean Society for information Management
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• v.38 no.3
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• pp.311-334
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• 2021

The purpose of this study is to present the theoretical basis and quantified objective standards for the establishment of collection management policy. The study results are summarized as follows. Most of the study books were in the form of periodicals as a steady seller. Most of the steady sellers were textbooks which published periodically. As a modern novel, a steady seller was able to confirm the phenomenon of dependence on a specific author. Bestsellers were investigated to be influenced by publishers and authors. Books of publishers that publish comics and children's textbooks had a significant correlation with the selection of bestsellers. The average number of recommended books borrowed per recommended book was 14,871. The average number of loans per book selected as a bestseller was 53,531. Based on the loan data, about 80-82% of all top-tier loans were covered by 90%, and about 27-29% of all top-ranked loans were covered by 50%. This shows that the Pareto Principle can be firmly applied to public library lending patterns. Loans in the field of literature accounted for 50.6% of the total loans. Among literature, Korean literature accounted for 51.3% of the total. The natural sciences were generating more loans with a relatively small pool of literature compared to other subject fields.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.155-178
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• 2021

In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.153-171
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• 2017

Many readers tend to read books of a specific author and to expand their reading areas according to the author. This study chose Edgar Allan Poe and analyzed the image of the author using co-recommended authors and books by other readers. The frequencies of co-occurred authors and books were investigated and the relations of authors and books were analyzed with network analysis methods. As a result, genre images of Poe, related authors, and related books are discovered. This study also suggested the methods to identify the image of a author, related author groups, and related books for libraries' reading programs and book curation.

• 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.

• The Korean Publising Journal, Monthly
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• s.50
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• pp.30-31
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• 1989

• The Korean Publising Journal, Monthly
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• s.159
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• pp.22-22
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• 1994

• The Korean Publising Journal, Monthly
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• s.97
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• pp.30-30
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• 1992

• The Korean Publising Journal, Monthly
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• s.119
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• pp.15-15
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• 1993

• The Korean Publising Journal, Monthly
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• s.333
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• pp.132-132
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• 2003