Paper Info
Title
A Two-Tiered Recommender System for Tourism Product Recommendations
Abstract
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 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.
Year
DOI
Venue
2015
10.1109/HICSS.2015.405
HICSS
Keywords
Field
DocType
collaborative filtering,two-tiered recommender system,tourist personal needs,approximate constraint satisfaction,travel industry,personalized travel services,recommender systems,recommender system,user-defined travel planning service,collaboration filtering,constraint satisfaction problems,indifference intervals,travel recommendation,word-of-mouth communication,personalized travel plan,tourism product recommendations,planning,collaboration,prototypes
Recommender system,Constraint satisfaction,World Wide Web,Computer science,Usability,Travel services,Tourism,Filter (signal processing),Knowledge management,Constraint satisfaction problem,Automation,Human–computer interaction
Conference
ISSN
Citations 
PageRank 
1530-1605
0
0.34
References 
Authors
20
3
Name
Order
Citations
PageRank
Il Young Choi11877.08
Jae Kyeong Kim2101152.32
Young U. Ryu339034.23