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.

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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