Book Recommendation Service Using Data Mining with Augmented Reality Technology
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Creator Thanaporn Fuangkajorn
Title Book Recommendation Service Using Data Mining with Augmented Reality Technology
Contributor Gamgarn Somprasertsri
Publisher "Department of Information Science Faculty of Humanities and Social Sciences, Khon Kaen University"
Publication Year 2566
Journal Title Journal of Information Science
Journal Vol. 41
Journal No. 3
Page no. 1–14
Keyword Book recommendation service, Augmented reality technology, Data mining, Association rules
URL Website https://www.tci-thaijo.org/index.php/jiskku/index
Website title Journal of Information Science
ISSN 2773-8841
Abstract "Purpose: This research aims to analyze association rule of patron's book loan behavior using data mining technique and to develop book recommendation service based on patron's book loan behavior by applying augmented reality technology.Methodology: This research uses a research and development method that consisting of an analysis the association rule of patron's book loan behavior by using FP-Growth Algorithm, developing book recommendation service using augmented reality technology based on association rule, and book recommendation service were evaluated by experts.Findings: The results showed that (1) association rules of patron's book loan behavior were 48 rules and divided into 6 patterns (2) book recommendation service using augmented reality technology that the overall suitability was at a high level in all three aspects: design, functionality and content.Applications of this study: (1) For promoting library services, librarians can apply book recommendation service using augmented reality technology to users in order to access books conveniently and quickly. (2) Book recommendation service using augmented reality technology can be used as a guideline for developing book recommendation service in other Libraries."
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