Recommandation personnalisée hybride

Autor: Ben Ticha, Sonia

Face à la surabondance des ressources et de l'information sur le net, l'accès aux ressources pertinentes devient une tâche fastidieuse pour les usagers de la toile. Les systèmes de recommandation personnalisée comptent parmi les principales solu

Externí odkaz: http://www.theses.fr/2015LORR0168/document

Spécification technique du profil xAPI pour SmartVideo

Autor: Roussanaly, Azim, Ben Ticha, Sonia, Messaoudi, Olfa

Publikováno v: [Rapport Technique] LORIA-Université de Lorraine. 2020

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::57d25273bb7afb6e23aac2358f0813eb
https://inria.hal.science/hal-03625239/file/SmartVideo__spec_xapi_profile.pdf

Feature Frequency Inverse User Frequency for Dependant Attribute to Enhance Recommendations

Autor: Ben Ticha, Sonia, Roussanaly, Azim, Boyer, Anne, Bsaies, Khaled

Publikováno v: SOTICS 2013, The Third International Conference on Social Eco-Informatics
SOTICS 2013, The Third International Conference on Social Eco-Informatics, IARA, Nov 2013, Lisbonne, Portugal. pp.45-50

International audience; Recommender system provides relevant items to users from huge catalogue. Collaborative filtering and content-based filtering are the most widely used techniques in personalized recommender systems. Collaborative filtering uses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3fb26f40cc346646ad6ba418b8b5f3ba
https://hal.inria.fr/hal-00930911/file/ArticlePublier.pdf

User-Feature Model for Hybrid Recommender System

Autor: Ben Ticha, Sonia, Roussanaly, Azim, Boyer, Anne, Bsaies, Khaled

Publikováno v: 4th International Conference on Information Systems and Economic Intelligence-SIIE'2011
4th International Conference on Information Systems and Economic Intelligence-SIIE'2011, IGA, Casablanca Maroc, Mar 2011, Marrakech, Morocco

International audience; Recommender systems provide relevant items to users from a large number of choices. In this work, we are interested in personalized recommender systems where user model is based on an analysis of usage. Collaborative filtering

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5e2081974fc86183247076cfcf672e39
https://hal.inria.fr/inria-00580523

User Semantic Preferences for Collaborative Recommendations.

Autor: Ben Ticha, Sonia, Roussanaly, Azim, Boyer, Anne, Bsaies, Khaled

Publikováno v: E-Commerce & Web Technologies (9783642322723); 2012, p203-211, 9p