A Two-Tiered Recommender System for Tourism Product Recommendations

Il Young Choi, Jae Kyeong Kim, Young U. Ryu
2015 2015 48th Hawaii International Conference on System Sciences  
Existing travel recommender systems have difficulty in automating word-of-mouth communication and tend to only mimic the role of traditional travel agents. This study proposes a novel travel recommender system based on collaboration filtering and approximate constraint satisfaction that can automate word-of-mouth communication and provide personalized travel services. The proposed travel recommender system models a tourist's personal needs as a constraint satisfaction problem and helps the user
more » ... build a personalized travel plan. However, because the existing constraint satisfaction method is often too rigid, this study adopts an approximate constraint satisfaction method by incorporating indifference intervals into constraints. We implement a prototype system and verify the effectiveness and usability of the system. The experiment results show that it is a promising system for the automation of word-of-mouth communication on the destination and user-defined travel planning service.
doi:10.1109/hicss.2015.405 dblp:conf/hicss/ChoiKR15 fatcat:rs7n7q5ibzcz3orjxdiu7zomcm