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.

Communications (14 au total)

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

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

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

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

An examination of evolutionary algorithm in multi-objective recommender systems

Manifestation: CASCE 23

Date: 2023-11-01

Organisation: Marrakech

Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth

Manifestation: Proceedings of the 12th International Conference on Data Science, Technology and Applications

Date: 2023

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

Thèses (0 au total)

Aucune thèse disponible.