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Developing Library Tour Course Recommendation Model based on a Traveler Persona: Focused on facilities and routes for library trips in J City

  • Journal of Korean Library and Information Science Society
  • Abbr : JKLISS
  • 2023, 54(2), pp.23~42
  • DOI : 10.16981/kliss.54.2.202306.23
  • Publisher : Korean Library And Information Science Society
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 23, 2023
  • Accepted : June 12, 2023
  • Published : June 30, 2023

Lee Su hyeon 1 HyunSoo Kim 2 JiWon Baek 2 Hyo-Jung Oh 1

1전북대학교
2전북대학교 일반대학원 기록관리학과

Accredited

ABSTRACT

The library tour program is a new type of cultural program that was first introduced and operated by J City, and library tourists travel to specialized libraries in the city according to a set course and experience various experiences. This study aims to build a customized course recommendation model that considers the characteristics of individual participants in addition to the existing fixed group travel format so that more users can enjoy the opportunity to participate in library tours. To this end, the characteristics of library travelers were categorized to establish traveler personas, and library evaluation items and evaluation criteria were established accordingly. We selected 22 libraries targeted by the library travel program and measured library data through actual visits. Based on the collected data, we derived the characteristics of suitable libraries and developed a persona-based library tour course recommendation model using a decision tree algorithm. To demonstrate the feasibility of the proposed recommendation model, we build a mobile application mockup, and conducted user evaluations with actual library users to identify satisfaction and improvements to the developed model.

Citation status

* References for papers published after 2023 are currently being built.