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Idir Benouaret
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2020 – today
- 2024
- [j4]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Multi-objective Test Recommendation for Adaptive Learning. Trans. Large Scale Data Knowl. Centered Syst.: 1-36 (2024) - [c18]Arthur Batel, Idir Benouaret, Joan Fruitet, Marc Plantevit, Céline Robardet:
A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis. ECAI 2024: 2386-2393 - 2023
- [c17]Nassim Bouarour, Idir Benouaret, Cédric D'Ham, Sihem Amer-Yahia:
Adaptive Test Recommendation for Mastery Learning. DataEd@SIGMOD 2023 - 2022
- [j3]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups. Trans. Large Scale Data Knowl. Centered Syst. 51: 64-96 (2022) - [c16]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Learning Diversity Attributes in Multi-Session Recommendations. IEEE Big Data 2022: 465-474 - [c15]Karim Benouaret, Juba Agoun, Idir Benouaret, François Charoy:
Call Limit-Based Composite Service Selection. ICWS 2022: 37-46 - [c14]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Significance and Coverage in Group Testing on the Social Web. WWW 2022: 3052-3060 - 2021
- [c13]Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
How Useful is Meta-Recommendation? An Empirical Investigation. IEEE BigData 2021: 600-606 - [c12]Idir Benouaret, Mohamed Bouadi, Sihem Amer-Yahia:
Multi-Objective Recommendations and Promotions at TOTAL. DEXA (2) 2021: 270-282 - 2020
- [j2]Idir Benouaret, Sihem Amer-Yahia, Senjuti Basu Roy, Christiane Kamdem Kengne, Jalil Chagraoui:
Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers. Trans. Large Scale Data Knowl. Centered Syst. 44: 160-193 (2020) - [c11]Idir Benouaret, Sihem Amer-Yahia:
A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total Customers. IEEE BigData 2020: 4499-4508
2010 – 2019
- 2019
- [c10]Idir Benouaret, Sihem Amer-Yahia, Christiane Kamdem Kengne, Jalil Chagraoui:
A Bi-Objective Approach for Product Recommendations. IEEE BigData 2019: 2159-2168 - [c9]Idir Benouaret, Sihem Amer-Yahia, Senjuti Basu Roy:
An Efficient Greedy Algorithm for Sequence Recommendation. DEXA (1) 2019: 314-326 - 2018
- [j1]Idir Benouaret, Dominique Lenne:
A Package-to-Group Recommendation Framework. Trans. Large Scale Data Knowl. Centered Syst. 39: 43-66 (2018) - [c8]Karim Benouaret, Idir Benouaret, Mahmoud Barhamgi, Djamal Benslimane:
Efficient Top-k Cloud Services Query Processing Using Trust and QoS. DEXA (1) 2018: 203-217 - 2017
- [b1]Idir Benouaret:
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). University of Technology of Compiègne, France, 2017 - [c7]Karim Benouaret, Idir Benouaret, Mahmoud Barhamgi, Djamal Benslimane:
Top-k Cloud Service Plans Using Trust and QoS. SCC 2017: 507-510 - [c6]Idir Benouaret, Dominique Lenne:
Recommending Diverse and Personalized Travel Packages. DEXA (2) 2017: 325-339 - 2016
- [c5]Idir Benouaret, Dominique Lenne:
A Package Recommendation Framework for Trip Planning Activities. RecSys 2016: 203-206 - [c4]Idir Benouaret, Dominique Lenne:
A Composite Recommendation System for Planning Tourist Visits. WI 2016: 626-631 - 2015
- [c3]Idir Benouaret, Dominique Lenne:
Combining Semantic and Collaborative Recommendations to Generate Personalized Museum Tours. ADBIS (Short Papers and Workshops) 2015: 477-487 - [c2]Idir Benouaret:
Un système de recommandation sensible au contexte pour la visite de musée. CORIA 2015: 515-524 - [c1]Idir Benouaret, Dominique Lenne:
Personalizing the Museum Experience through Context-Aware Recommendations. SMC 2015: 743-748
Coauthor Index
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