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Mijin Park
- Journal of the Korean BIBLIA Society for library and Information Science
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- v.34 no.4
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- pp.101-124
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- 2023
Book recommendations in libraries can be used as a tool to help users with vague needs browse and select books. Therefore, libraries spend a lot of time and effort to introduce various materials to their users and recommend suitable books. Meanwhile, various organizations other than libraries also publish recommended reading lists, and these lists reflect the intentions of the entity that selects the recommended books. The purpose of this study is finding out how the recommended book lists of libraries differ from the recommended reading lists of non-library organizations. To achieve this, the study limited the scope to 'teenagers', who are the main target audience for book recommendations in many organizations, and compared the recommended book lists of libraries and non-library organizations in terms of (1) the selection criteria for recommended books, (2) the characteristics of recommended books, and (3) the way of providing recommended book lists. Through this analysis, the study identified the characteristics and limitations of library recommended book lists and discussed areas for improvement.
https://doi.org/10.14699/kbiblia.2023.34.4.101 인용 PDF

Lee Yeon-Ok
- Journal of Korean Library and Information Science Society
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- v.37 no.2
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- pp.47-72
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- 2006
Recommended book lists make 'a good book' known and help choose the books. Currently, the recommended book lists published by various institutions are primarily used as the selection tool for choosing children's and young adults' book in many libraries and schools. Considering this reality, I examined the present production condition of the recommended book lists and evaluated whether they were suitable as a selection tool. Afterwards, I suggested the development methods about how the recommended book lists will be developed for them to function as a selection tool.
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Cho, Hyun-Yang
- Journal of Korean Library and Information Science Society
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- v.48 no.2
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- pp.215-236
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- 2017
The purpose of this study is to develop an automatic classification system for recommending appropriate books of 9 enneagram personality types, using book information data reviewed by librarians. Data used for this study are book review of 501 recommended titles for children and young adults from National Library for Children and Young Adults. This study is implemented on the assumption that most people prefer different types of books, depending on their preference or personality type. Performance test for two different types of machine learning models, nonlinear kernel and linear kernel, composed of 360 clustering models with 6 different types of index term weighting and feature selections, and 10 feature selection critical mass were experimented. It is appeared that LIBLINEAR has better performance than that of LibSVM(RBF kernel). Although the performance of the developed system in this study is relatively below expectations, and the high level of difficulty in personality type base classification take into consideration, it is meaningful as a result of early stage of the experiment.
https://doi.org/10.16981/kliss.48.201706.215 인용 PDF KSCI