Idir Benouaret
Publications
Publications
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An Interpretable Model for Multi-Target Predictions with Ordinal OutputsMachine Learning, In press |
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Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL CustomersTransactions on Large-Scale Data- and Knowledge-Centered Systems, 2020, pp.160-193. ⟨10.1007/978-3-662-62271-1_6⟩ |
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Recommandation de tests multi-objectifs pour l'apprentissage adaptatif20e Conférence en Recherche d’Information et Applications (CORIA) 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN) 27ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL) Les 18e Rencontres Jeunes Chercheurs en RI (RJCRI), 2025, Marseille, France. pp.94-97 |
Adaptive Test Recommendation for Mastery LearningDataEd '23: 2nd International Workshop on Data Systems Education: Bridging education practice with education research, Jun 2023, Seattle WA, United States. pp.18-23, ⟨10.1145/3596673.3596977⟩ |
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Call Limit-Based Composite Service SelectionICWS 2022 - IEEE International Conference on Web Services, Jul 2022, Barcelona, Spain. pp.37-46, ⟨10.1109/ICWS55610.2022.00021⟩ |
Significance and Coverage in Group Testing on the Social WebWWW '22: The ACM Web Conference 2022, Apr 2022, Virtual Event, France. pp.3052-3060, ⟨10.1145/3485447.3512025⟩ |
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How Useful is Meta-Recommendation? An Empirical Investigation2021 IEEE International Conference on Big Data (Big Data), Dec 2021, Orlando, United States. pp.600-606, ⟨10.1109/BigData52589.2021.9671808⟩ |
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Multi-Objective Recommendations and Promotions at TOTALThe 32nd International Conference on Database and Expert Systems Applications (DEXA2021), Sep 2021, Lintz, Austria |
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An Efficient Greedy Algorithm for Sequence RecommendationDatabase and Expert Systems Applications, 2020, Linz, Austria. ⟨10.1007/978-3-030-27615-7⟩ |
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A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total CustomersIEEE Big Data, 2020, Now Taking Place Virtually, France |
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An Efficient Greedy Algorithm for Sequence RecommendationDEXA 2019: International Conference on Database and Expert Systems Applications, Aug 2019, Linz, Austria. pp.314-326, ⟨10.1007/978-3-030-27615-7_24⟩ |
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A Bi-Objective Approach for Product Recommendations2019 IEEE International Conference on Big Data (Big Data), Dec 2019, Los Angeles, France. pp.2159-2168, ⟨10.1109/BigData47090.2019.9006503⟩ |
Efficient Top-k Cloud Services Query Processing Using Trust and QoSInternational Conference on Database and Expert Systems Applications (DEXA), 2018, Regensburg, Germany. pp.203-217, ⟨10.1007/978-3-319-98809-2\_13⟩ |
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Recommending Diverse and Personalized Travel Packages28th International Conference on Database and Expert Systems Applications (DEXA 2017), Aug 2017, Lyon, France. pp.325-339, ⟨10.1007/978-3-319-64471-4_26⟩ |
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Top-k Cloud Service Plans Using Trust and QoS14th IEEE International Conference on Services Computing (SCC 2017), Jun 2017, Honolulu, United States. pp.507-510 |
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A Package Recommendation Framework for Trip Planning Activities10th ACM Conference on Recommender Systems (RECSYS16), Sep 2016, Boston, United States. pp.203-206, ⟨10.1145/2959100.2959183⟩ |
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A Composite Recommendation System for Planning Tourist Visits2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI16), Oct 2016, Omaha, United States. pp.626-631 |
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Combining Semantic and Collaborative Recommendations to Generate Personalized Museum ToursADBIS 2015 19th East-European Conference on Advances in Databases and Information Systems, Sep 2015, Poitiers, France. ⟨10.1007/978-3-319-23201-0_48⟩ |
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Personalizing the Museum Experience through Context-Aware RecommendationsSMC 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, Oct 2015, Hong Kong China. ⟨10.1109/SMC.2015.139⟩ |
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Un système de recommandation contextuel et composite pour la visite personnalisée de sites culturelsAutre [cs.OH]. Université de Technologie de Compiègne, 2017. Français. ⟨NNT : 2017COMP2332⟩ |