A recommender system based on personal constraints for smart tourism city. Issue 4 (3rd April 2021)

• Record Type: Journal Article
• Authors: Choi, Il Young; Ryu, Young U.; Kim, Jae Kyeong
• Is Part Of: Asia Pacific journal of tourism research. Volume 26:Issue 4(2021)
• Page Start: 440
• Page End: 453
• Publication Date: 2021-04-03
• Subjects: Smart tourism -- smart tourism city -- recommender system -- travel recommender system -- travel planning -- travel-planning service -- travel package -- approximate constraint satisfaction -- constraint satisfaction -- word-of-mouth communication; Tourism -- Asia -- Periodicals; Tourism -- Pacific Area -- Periodicals; 338.4791504429
• DOI: 10.1080/10941665.2019.1592765
• Languages: English
• ISSNs: 1094-1665

Abstract

ABSTRACT: In a smart tourism ecosystem, travel communication websites play a critical role in choosing destinations and hotels. This research suggests a travel recommender system for automating word-of-mouth (WOM) effects and providing personalized travel-planning services to tourists. Collaborative filtering (CF)-based recommender systems have been extensively employed for personalization services in diverse areas; the basic principle of CF is WOM communication. This research proposes a travel recommender system that helps a tourist build his/her personalized travel plan based on CF and constraint satisfaction filtering. Constraint satisfaction filtering is adopted to profile a tourist's needs and circumstances. For this purpose, this research modifies the existing constraint satisfaction method to an approximate constraint satisfaction filtering method that incorporates indifference intervals into constraints. We build a prototype system and a benchmark system to evaluate the effectiveness, usability, and novelty of the proposed travel recommender system. The experimental results demonstrate a methodology for performing personalized tourist's travel planning and automating WOM communication outperforms the benchmark system.