A Recommendation System for Enhancing the Personalized Search Itineraries in the Public Transportation Domain

Aroua Essayeh, Mourad Abed

Abstract

In traditional transport information systems, the users must explicitly provide the information related to both their profiles and travels to receive a personalized response. However, this requires, among others, an extra effort from user in term of search time. We aim to identify not only implicitly users’ information, but also to anticipate their need even if some data are missing through a recommender system based on collaborative filtering technique. In this work, the information related to users is represented using the ontology which proved far more adequate model for representing semantically data.

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Paper Citation


in Harvard Style

Essayeh A. and Abed M. (2017). A Recommendation System for Enhancing the Personalized Search Itineraries in the Public Transportation Domain . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 415-423. DOI: 10.5220/0006315904150423


in Bibtex Style

@conference{iceis17,
author={Aroua Essayeh and Mourad Abed},
title={A Recommendation System for Enhancing the Personalized Search Itineraries in the Public Transportation Domain},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={415-423},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006315904150423},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Recommendation System for Enhancing the Personalized Search Itineraries in the Public Transportation Domain
SN - 978-989-758-247-9
AU - Essayeh A.
AU - Abed M.
PY - 2017
SP - 415
EP - 423
DO - 10.5220/0006315904150423