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Informations du chercheur

Nom complet

Qassimi Sara

Grade

PA

Spécialité

Informatique

Thématique de recherche

Système de recommandation, Intelligence Artificielle, Web Sémantique, intelligence collective

Laboratoire

Laboratoire d’Ingénierie Informatique et Systèmes

Établissement

Faculte des Sciences et Techniques Gueliz

Projets (0 au total)

Aucun projet disponible.

Publications (48 au total)

Multi-objective contextual bandits in recommendation systems for smart tourism

Auteur: Sara Qassimi, Said Rakrak

Revue: Scientific Reports

Année: 2025

DOI: 10.1038/s41598-025-89920-2

A multi-objective optimization approach for session-based recommendation systems

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: Journal of Intelligent Information Systems

Année: 2025

DOI: 10.1007/s10844-025-00935-7

Leveraging DQN-Based Recommender Systems for E-Commerce in Smart Cities

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Communications in Computer and Information Science

Année: 2025

DOI: 10.1007/978-3-031-82153-0_2

From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction

Auteur: Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

Revue: Applied Artificial Intelligence

Année: 2025

DOI: 10.1080/08839514.2025.2452675

Deep Collaborative Filtering Recommender Systems in Smart Cities: A Systematic Review

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Knowledge and Information Systems

Année: 2025

DOI: 10.1007/s10115-02502644-7

Emotion and sentiment enriched decision transformer for personalized recommendations.

Auteur: Sana Abakarim, Sara Qassimi, Said Rakrak

Revue: Scientific Reports

Année: 2025

DOI: 10.1038/s41598-02506386-y

Multi-objective reinforcement learning for recommender systems: a comprehensive survey of methods, challenges, and future directions.

Auteur: Fatima Ezzahra Zaizi, Sana Abakarim, Sara Qassimi, & Said Rakrak

Revue: International Journal of Multimedia Information Retrieval

Année: 2025

DOI: 10.1007/s13735-02500383-7

A deep autoencoder-enhanced multi-objective evolutionary algorithm for recommender systems

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: Journal of Supercomputing

Année: 2025

DOI: 10.1007/s11227-025-07589-w

Multi-objective Optimization for Personalized and Fairness Recommender Systems: A Hybrid Approach

Auteur: Fatima Ezzahra Zaizi, Sara Qassimi, Said Rakrak

Revue: SN Computer Science

Année: 2025

DOI: 10.1007/s42979-025-04230-8

Communications (14 au total)

Enhancing Social Recommendations Using Deep Reinforcement Learning in Online Communities

Manifestation: The International colloquium on artificial intelligence and its applications ( ICAIA’24 )

Date: 2024-11-01

Organisation: Marrakech

Enhancing Consumer Experiences Using Deep Reinforcement Learning in E-Commerce

Manifestation: Conference: The 5th International Conference on Computer Science, Artificial Intelligence & Application (ICCSAIA’24

Date: 2024-11-01

Organisation: Marrakech

A Hybrid Multi-Objective Immune Algorithm for Commercial Recommendation Systems

Manifestation: ICSAIA'24

Date: 2024-06-01

Organisation: Marrakech

Efficiently Optimizing Tourism Recommendation Systems with Multi-Objective Evolutionary Algorithms

Manifestation: ICAIA’24

Date: 2024-05-01

Organisation: Marrakech

Use of Deep Learning for tourism recommendations enhancing smart living dimension

Manifestation: The 4th International Conference on Applied Sciences & Computer Engineering (CASCE’23)

Date: 2023-30-11

Organisation: Marrakech

An Examination of Evolutionary Algorithms in Multi-Objective Recommender Systems

Manifestation: The 4th International Conference on Applied Sciences & Computer Engineering (CASCE’23)

Date: 2023-30-11

Organisation: Marrakech

Use of Deep Learning for tourism recommendations enhancing smart living dimension

Manifestation: The 4th International Conference on Applied Sciences & Computer Engineering (CASCE’23)

Date: 2023-30-11

Organisation: Marrakech

An examination of evolutionary algorithm in multi-objective recommender systems

Manifestation: CASCE 23

Date: 2023-11-01

Organisation: Marrakech

A Comparative Study of Evolutionary Algorithms for Multi-Objective Recommender Systems

Manifestation: 2023 9th International Conference on Optimization and Applications (ICOA)

Date: 2023

Organisation: vol. undefined, issue undefined, p. undefined

Thèses (0 au total)

Aucune thèse disponible.