Book Recommendation Service Using Data Mining with Augmented Reality Technology
DOI:
https://doi.org/10.14456/jiskku.2023.17Keywords:
Book recommendation service, Augmented reality technology, Data mining, Association rulesAbstract
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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