A New Dynamic Community-Based Recommender System

Sabrine Ben Abdrabbah, Nahla Ben Amor, Raouia Ayachi

2023

Abstract

Due to the rapid changes in users’ preferences over time, it becomes increasingly important to focus on the temporal evolution of the users’ behavioral patterns to capture the most relevant items to the users. This paper proposes a new framework for dynamic and overlapping community-based collaborative filtering, which models at first the dynamic behavior of users’ interests into a temporal network of items. Then, we take advantage of the dynamic and overlapping community detection techniques to find the best partition of similar items. The advantage of doing so is to (i) avoid processing the entire system to select similar items and eventually overcome the scalability problem and (ii) provide users with a recommendation of items similar to the latest appreciated items to match the current users’ taste and avoid consequently sparse cases. We conduct experiments to study the sensitivity of some parameters (e.g., the datasets and the similarity measures) on the recommendations’ quality. Experimental results show a considerable improvement in the proposed framework recommendation’s accuracy compared to the state-of-the-art recommender systems.

Paper Citation

in Harvard Style

Ben Abdrabbah S., Ben Amor N. and Ayachi R. (2023). A New Dynamic Community-Based Recommender System. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-623-1, pages 125-136. DOI: 10.5220/0011641300003393

in Bibtex Style

@conference{icaart23,
author={Sabrine Ben Abdrabbah and Nahla Ben Amor and Raouia Ayachi},
title={A New Dynamic Community-Based Recommender System},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2023},
pages={125-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011641300003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A New Dynamic Community-Based Recommender System
SN - 978-989-758-623-1
AU - Ben Abdrabbah S.
AU - Ben Amor N.
AU - Ayachi R.
PY - 2023
SP - 125
EP - 136
DO - 10.5220/0011641300003393