Combining Semantic and Collaborative Recommendations to Generate Personalized Museum Tours. - Idir Benouaret; Dominique Lenne (ADBIS (Short Papers and Workshops), 2015)

Un système de recommandation sensible au contexte pour la visite de musée. - Idir Benouaret (CORIA, 2015)

Personalizing the Museum Experience through Context-Aware Recommendations. - Idir Benouaret; Dominique Lenne (SMC, 2015)

A Package Recommendation Framework for Trip Planning Activities. - Idir Benouaret; Dominique Lenne (RecSys, 2016)

A Composite Recommendation System for Planning Tourist Visits. - Idir Benouaret; Dominique Lenne (WI, 2016)

Top-k Cloud Service Plans Using Trust and QoS. - Karim Benouaret; Idir Benouaret; Mahmoud Barhamgi; Djamal Benslimane (SCC, 2017)

Recommending Diverse and Personalized Travel Packages. - Idir Benouaret; Dominique Lenne (DEXA (2), 2017)

Un système de recommandation contextuel et composite pour la visite personnalisée de sites culturels. (A contextual and composite recommender system for the personalization of cultural sites visit). - Idir Benouaret (2017)

Efficient Top-k Cloud Services Query Processing Using Trust and QoS. - Karim Benouaret; Idir Benouaret; Mahmoud Barhamgi; Djamal Benslimane (DEXA (1), 2018)

A Package-to-Group Recommendation Framework. - Idir Benouaret; Dominique Lenne (Trans. Large Scale Data Knowl. Centered Syst., 2018)

A Bi-Objective Approach for Product Recommendations. - Idir Benouaret; Sihem Amer-Yahia; Christiane Kamdem Kengne; Jalil Chagraoui (IEEE BigData, 2019)

An Efficient Greedy Algorithm for Sequence Recommendation. - Idir Benouaret; Sihem Amer-Yahia; Senjuti Basu Roy (DEXA (1), 2019)

A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers. - Idir Benouaret; Sihem Amer-Yahia (IEEE BigData, 2020)

Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers. - Idir Benouaret; Sihem Amer-Yahia; Senjuti Basu Roy; Christiane Kamdem Kengne; Jalil Chagraoui (Trans. Large Scale Data Knowl. Centered Syst., 2020)

How Useful is Meta-Recommendation? An Empirical Investigation. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (IEEE BigData, 2021)

Multi-Objective Recommendations and Promotions at TOTAL. - Idir Benouaret; Mohamed Bouadi; Sihem Amer-Yahia (DEXA (2), 2021)

Learning Diversity Attributes in Multi-Session Recommendations. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (IEEE Big Data, 2022)

Call Limit-Based Composite Service Selection. - Karim Benouaret; Juba Agoun; Idir Benouaret; François Charoy (ICWS, 2022)

Significance and Coverage in Group Testing on the Social Web. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (WWW, 2022)

Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (Trans. Large Scale Data Knowl. Centered Syst., 2022)

Adaptive Test Recommendation for Mastery Learning. - Nassim Bouarour; Idir Benouaret; Cédric D'Ham; Sihem Amer-Yahia (DataEd@SIGMOD, 2023)

A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis. - Arthur Batel; Idir Benouaret; Joan Fruitet; Marc Plantevit; Céline Robardet (ECAI, 2024)

Multi-objective Test Recommendation for Adaptive Learning. - Nassim Bouarour; Idir Benouaret; Sihem Amer-Yahia (Trans. Large Scale Data Knowl. Centered Syst., 2024)