Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations

Abir Gorrab, Wala Rebhi, Narjes Bellamine Ben Saoud, Henda Ben Ghezala

2025

Abstract

Recommendation systems play a crucial role in providing relevant information through data analysis. One of the pivotal challenges in the recommendation process is modeling user profiles. However, many existing models focus on a single aspect to describe users, overlooking other valuable data. In response to this lim-itation, this paper introduces a comprehensive multidimensional model that captures various dimensions of a user within their complex social network. This model encompasses demographic, social, behavioral and homophilic dimensions, with the goal of offering more holistic recommendations tailored to different contexts. Towards the end of this article, we introduce a focused application of the multidimensional model. This specific application revolves around providing hashtag recommendations within the X platform (Twitter platform). This serves as a tangible demonstration of how the proposed model can be applied in a practical context within a real social network. The main goal is to comprehensively assess the model’s efficacy in generating recommendations by utilizing a varied set of user-related information. To accomplish this, we introduce and evaluate a recommendation approach driven by our proposed user profile model, showcasing relevant and notable results.

Paper Citation

in Harvard Style

Gorrab A., Rebhi W., Ben Saoud N. and Ben Ghezala H. (2025). Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 241-248. DOI: 10.5220/0013118200003890

in Bibtex Style

@conference{icaart25,
author={Abir Gorrab and Wala Rebhi and Narjes Ben Saoud and Henda Ben Ghezala},
title={Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013118200003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Multidimensional User Profile Model to Support System Recommendations in Complex Social Networks: Application to Hashtag Recommendations
SN - 978-989-758-737-5
AU - Gorrab A.
AU - Rebhi W.
AU - Ben Saoud N.
AU - Ben Ghezala H.
PY - 2025
SP - 241
EP - 248
DO - 10.5220/0013118200003890
PB - SciTePress