• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.14-17
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• 2015

오늘날 인터넷의 발달과 전자 책(e-Book) 시장규모가 커짐에 따라 온라인을 통한 도서 정보 제공이 증가하고 있다. 하지만 현재 도서 정보나 도서 추천을 제공하는 온라인 사이트들은 기본 서지 정보만을 위주로 제공하고 있어 도서 본문을 활용한 정보 제공 및 추천 시스템의 필요성이 증가하고 있다. 따라서 본 논문에서는 도서 본문을 활용한 정보 제공 및 개인 맞춤형 추천을 위해 '도서 정보 본문텍스트 통합 마이닝 기반 사용자 참여형 시각화 및 추천 큐레이션 플랫폼'을 제안하고, 이를 구축하였다. 제안한 서비스 플랫폼은 독자에게 다양한 방법으로 도서 정보를 제공하며, 독자는 적은 시간으로 많은 정보를 얻을 수 있도록 하여 사용자의 도서 선택의 폭을 넓혀줄 것이다.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.113-127
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• 2021

The purpose of this study is to propose a personalized book recommendation system to promote the use of university libraries. In particular, unlike many recommended services that are based on existing users' preferences, this study proposes a method that derive evaluation metrics using individual users' book rental history and tendencies, which can be an effective alternative when users' preferences are not available. This study suggests models using two matrix decomposition methods: Singular Value Decomposition(SVD) and Stochastic Gradient Descent(SGD) that recommend books to users in a way that yields an expected preference score for books that have not yet been read by them. In addition, the model was implemented using a user-based collaborative filtering algorithm by referring to book rental history of other users that have high similarities with the target user. Finally, user evaluation was conducted for the three models using the derived evaluation metrics. Each of the three models recommended five books to users who can either accept or reject the recommendations as the way to evaluate the models.

• The Korean Publising Journal, Monthly
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• s.225
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• pp.23-23
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• 1997

제30회 '문화체육부 추천도서'가 선정됐다. 총류와 역사 종교.철학.문학 등 10개 분야에 걸쳐 총 112종 246책이 선정됐다. 올해는 특히 번역 분야를 새로 설정, 우리 문화를 세계에 널리 알리는 데 기여한 도서도 2종 선정돼 눈길을 끈다. 추천 목록은 다음과 같다.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.3
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• pp.343-372
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• 2021

The purpose of this study is to select keywords that can recommend books by personality type, and to test whether the chosen keywords can be actually used in the categorization and customized recommendation of books for each personality type. To achieve the research goal, this study chose books that match the level of fifth and sixth grade elementary school students and first grade middle school students and commissioned an expert group to categorize the books into groups that are preferred by each personality type. As a result of the classification, half of the books in which more than five experts agreed showed high consensus. In addition, the results of classifying books by personality type with keywords extracted by the automatic word extraction system by collecting the book review data of the selected books were similar to the results of the final judgement by the expert group, except for a few books. In conclusion, this study proved that it is possible to classify and recommend books that are likely to be preferred by different personality types using review keywords.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.189-209
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• 2022

The purpose of this study is to analyze the content of the online book curation services and recommended books list by public libraries in Korea and to identify their properties. The case for analysis is a list of 11,447 recommended books provided by 35 online book curation services collected from 23 public libraries and the main results of the study are as follows. Only few case libraries were presenting recommendation themes, and recommendation targets were most often not specific, and the recommendation cycle of books was the most monthly. In general, books recommended for book curation do not overlap with each other, but there was overlap in the field of literature (novels) published in 2019~2021. For recommended books, the proportion of books published by some publishers was high, and books published in 2019~2021 were the most common. The subject areas analyzed based on the KDC 6th ed were literature the most. Readers analyzed by ISBN were of in the order of cultural books and children's books, and the type of publication was in the order of books, pucture books, and comics. Based on these research results, it was required to develop guidelines for online book curation service for public libraries and build a platform to share with libraries.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.287-311
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• 2021

It is not easy for information users to find books that are suitable for them in a knowledge information society. There is a growing need for libraries to break away from traditional services and provide user-tailored recommendation services, but there are few qualitative studies on user satisfaction so far. In this study, a user-customized book recommendation was performed by applying Apriori, a correlation analysis algorithm, and satisfaction factors were analyzed in depth through interviews. The experimental data was the loan data of 100 people who used the most frequently used loan data for 10 years from 2009 to 2019 of the S library in Seoul. The interviewees of the experiment were those who could be interviewed in depth. After the correlation analysis, the concepts and categories derived by analyzing the interview data were 59 concepts, 6 sub-categories, and 2 upper categories, respectively. The upper categories were 'reading' and 'book recommendation service'. In the 'reading' category, there were 16 concepts of motivation for reading, 8 concepts of preferred books, and 12 concepts of expected effects. Also, in the category of 'reading recommendation service', there were 10 'reflection factors', 4 'reflection methods', and 9 'satisfaction factors'.

• Journal of Korean Library and Information Science Society
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• v.47 no.1
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• pp.279-303
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• 2016

This study proposes the Book-Curation service as part of the information service offered through school library websites. Also, this study aims to establish recommendation standards for curation prior to detailed system planning. For such service, the following tasks were carried out. First, the list of recommended books of existing systems were analyzed to identify the attributes that can be used for recommendation in the user and book information. Second, the analyzed attributes were utilized to establish 12 recommendation standards. Finally, a survey was carried out to identify the user preferences as to each standards. The results are as follows. First, the majority of students responded that curation service is necessary for using a library. Second, the top three standards are as follows: "best lending books based on the keywords of individual users"; "best lending books of the same year students"; "best lending books on the textbook-related reference booklist".

• The Korean Publising Journal, Monthly
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• s.238
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• pp.6-10
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• 1998

스포츠의 세계는 곧잘 인생으로 바유되곤 한다. 승리와 패배가 엇갈리는 구비구비 길목마다 환호와 눈물이 넘친다. 승부세계에 담긴 평범하지 않은 사연은 숱한 인생철학을 들려주는 것이기도 하다. 정작 스포츠를 즐기는 인구만큼 스포츠도서에 쏟는 관심은 빈약하기만 하다. 최근들어 다채롭게 나오기 시작한 각종 스포츠도서를 스포츠 평론가, 체육계 인사 10인이 추천했다. 이 책들을 통해 스포츠의 한없는 매력에 한껏 빠져들어 본다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.5
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• pp.1097-1104
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• 2011

In this paper, we propose a semantic web approach for personalized book recommendation. Our approach takes advantage of the content-based recommendation and improves its disadvantage that users should input their interesting fields into all book search systems they use. Our approach provides the sharing of users' profile with their interesting fields by enabling user's interesting fields to be described over each book classification ontology of various book information providers. We also provide a middleware that manages users' profiles written in RDF and analizes similarity between user's interesting field and each concept over the book classification ontology. Our approach provide better performance than traditional keyword-based search by sharing the user's profile among book recommendation systems.

• 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.