Tourism Integrated Recommender System: Setubal Peninsula Case Study

Mohamma Julashokri, Suzana Leonardi, Pedro Seabra

2022

Abstract

The diversity and a huge number of different places and attractions can make the decision for tourists difficult. The recommender systems are developed to facilitate people's decision-making process that can help in the area of tourism as well. In this paper, we proposed and implement a recommender system that works integrated with a Setubal peninsula portal to help tourists to choose experiences and points of interest to visit. The implementation was done using collaborative and content-based filtering to make recommendations based on user profiles and activities within the portal.

Paper Citation

in Harvard Style

Julashokri M., Leonardi S. and Seabra P. (2022). Tourism Integrated Recommender System: Setubal Peninsula Case Study. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-569-2, pages 623-627. DOI: 10.5220/0011102100003179

in Bibtex Style

@conference{iceis22,
author={Mohamma Julashokri and Suzana Leonardi and Pedro Seabra},
title={Tourism Integrated Recommender System: Setubal Peninsula Case Study},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2022},
pages={623-627},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011102100003179},
isbn={978-989-758-569-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Tourism Integrated Recommender System: Setubal Peninsula Case Study
SN - 978-989-758-569-2
AU - Julashokri M.
AU - Leonardi S.
AU - Seabra P.
PY - 2022
SP - 623
EP - 627
DO - 10.5220/0011102100003179