Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2023
Abstract
Various recommender systems for mobile tourism have been developed over the years. However, most of these recommender systems tend to overwhelm users with too much information and may not be personalised to user preferences. In this paper, we introduce ExploreLah, a personalised and smart trip planner for exploring Point of Interests (POIs) in Singapore. The user preferences are categorised into five groups: shopping, art & culture, outdoor activity, adventure, and nightlife. The problem is considered as the Team Orienteering Problem with Time Windows. The algorithm is developed to generate itineraries. Simulated experiments using test cases were performed to evaluate and validate the usability of the current version.
Keywords
Algorithm, Point of interests, Recommender system, Trip planner
Discipline
Artificial Intelligence and Robotics | Tourism and Travel
Research Areas
Intelligent Systems and Optimization
Publication
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) : Singapore, December 18-21: Proceedings
First Page
1
Last Page
5
ISBN
9798350323153
Identifier
10.1109/IEEM58616.2023.10406555
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
GUNAWAN, Aldy; HOE, Siu Loon; LIM, Xun Yi; TRAN, Linh Chi; and NGUYEN, Dang Viet Anh.
ExploreLah: Personalised and smart trip planner for mobile tourism. (2023). 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) : Singapore, December 18-21: Proceedings. 1-5.
Available at: https://ink.library.smu.edu.sg/sis_research/8490
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/IEEM58616.2023.10406555