Diana Nurbakova
Orcid: 0000-0002-6620-7771
According to our database1,
Diana Nurbakova
authored at least 35 papers
between 2013 and 2024.
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Bibliography
2024
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024
2023
Adaptive and Privacy-Aware Persuasive Strategies to Promote Healthy Eating Habits: Position Paper.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023
HUMMUS: A Linked, Healthiness-Aware, User-centered and Argument-Enabling Recipe Data Set for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
When Multiple Perspectives and an Optimization Process Lead to Better Performance, an Automatic Sexism Identification on Social Media With Pretrained Transformers in a Soft Label Context.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
Proceedings of the International Workshop on Behavior Change and Persuasive Recommender Systems co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023
2022
Proceedings of the Advances in Information Retrieval, 2022
Overview of the CLEF 2022 SimpleText Lab: Automatic Simplification of Scientific Texts.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022
Overview of the CLEF 2022 SimpleText Task 3: Query Biased Simplification of Scientific Texts.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Overview of the CLEF 2022 SimpleText Task 2: Complexity Spotting in Scientific Abstracts.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
2021
Knowl. Inf. Syst., 2021
EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021
Analysis of Users Engaged in Online Discussions about Controversial Covid-19 Treatments.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021
Extraction de signaux comportementaux d'utilisateur et prédiction de conclusion de vente.
Proceedings of the Extraction et Gestion des Connaissances, 2021
Opposition politique et polarisation de groupe dans la discussion des traitements de la Covid-19 sur Twitter.
Proceedings of the Extraction et Gestion des Connaissances, 2021
Recommandation diversifiée via des processus ponctuels déterminantaux sur des graphes de connaissances.
Proceedings of the Extraction et Gestion des Connaissances, 2021
Text Simplification for Scientific Information Access - CLEF 2021 SimpleText Workshop.
Proceedings of the Advances in Information Retrieval, 2021
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021
Overview of SimpleText 2021 - CLEF Workshop on Text Simplification for Scientific Information Access.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021
2020
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Understanding the Personality of Contributors to Information Cascades in Social Media in Response to the COVID-19 Pandemic.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
DEvIR: Data Collection and Analysis for the Recommendation of Events and Itineraries.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
SeqScout: Using a Bandit Model to Discover Interesting Subgroups in Labeled Sequences.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
2018
Recommendation of Activity Sequences during Distributed Events. (Recommandation de séquences d'activités lors d'événements distribués).
PhD thesis, 2018
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Proceedings of the COnférence en Recherche d'Informations et Applications, 2018
2017
Proceedings of International Workshop on Citizens for Recommender Systems, 2017
Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), 2017
Proceedings of International Workshop on Citizens for Recommender Systems, 2017
Proceedings of the International Conference on Computational Science, 2017
2016
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016
2013
Proceedings of the International Conference on Computational Science, 2013