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

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/IEEM58616.2023.10406555

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