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Rim Faiz
Publications
- 2019
- [c94]Eya Hammami, Imen Akermi, Rim Faiz, Mohand Boughanem:
Deep Learning for French Legal Data Categorization. MEDI 2019: 96-105 - 2018
- [c90]Imen Akermi, Mohand Boughanem, Rim Faiz:
A probabilistic model for intrusive recommendation assessment. RecSys 2018: 441-445 - 2017
- [c83]Ameni Kacem, Mohand Boughanem, Rim Faiz:
Emphasizing temporal-based user profile modeling in the context of session search. SAC 2017: 925-930 - 2016
- [c63]Mariem Bambia, Mohand Boughanem, Rim Faiz:
Exploring Current Viewing Context for TV Contents Recommendation. WI 2016: 272-279 - [c62]Imen Akermi, Mohand Boughanem, Rim Faiz:
Just-In-Time Recommendation Approach within a Mobile Context. WI 2016: 636-639 - 2015
- [c58]Mariem Bambia, Rim Faiz, Mohand Boughanem:
Context-Awareness and Viewer Behavior Prediction in Social-TV Recommender Systems: Survey and Challenges. ADBIS (Short Papers and Workshops) 2015: 52-59 - [c47]Imen Akermi, Mohand Boughanem, Rim Faiz:
Une Approche de recommandation proactive dans un environnement mobile. INFORSID 2015: 301-316 - [c46]Mariem Bambia, Mohand Boughanem, Rim Faiz:
Un modèle de langue pour l'estimation de la fraîcheur et la pertinence des documents Web. INFORSID 2015: 317-330 - 2014
- [c33]Ameni Kacem, Mohand Boughanem, Rim Faiz:
Time-Sensitive User Profile for Optimizing Search Personlization. UMAP 2014: 111-121 - 2012
- [c22]Najeh Naffakhi, Mohand Boughanem, Rim Faiz:
Recherche d'Information Agrégée dans des documents XML basée sur les Réseaux Bayésiens. EGC 2012: 369-380 - 2011
- [c15]Najeh Naffakhi, Mohand Boughanem, Rim Faiz:
Un modèle Bayésien pour l'Agrégation des documents XML. CORIA 2011: 335-348 - 2010
- [c8]Najeh Naffakhi, Mohand Boughanem, Rim Faiz:
Réseau bayésien pour un modèle de Recherche d'Information agrégée dans des documents structurés. INFORSID 2010: 111-126
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