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http://dx.doi.org/10.16981/kliss.52.3.202109.287

A Narrative Study on User Satisfaction of Book Recommendation Service based on Association Analysis  

Kim, Seonghun (성균관대학교 문헌정보학과)
Roh, Yoon Ju (경찰청)
Kim, Mi Ryung (서울경찰청)
Publication Information
Journal of Korean Library and Information Science Society / v.52, no.3, 2021 , pp. 287-311 More about this Journal
Abstract
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'.
Keywords
Book Recommendation; Correlation Analysis; Apriori; Library Recommendation Service; Satisfaction Factor;
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Times Cited By KSCI : 4  (Citation Analysis)
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