Geoffray Bonnin

Orcid: 0000-0002-9234-3849

According to our database1, Geoffray Bonnin authored at least 26 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity.
Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023
Modelling children's inhibitory skills using learning data from an educational app.
J. Comput. Assist. Learn., June, 2023

Characterizing the Emotional Context Induced by Music Listening and its Effects on Gait Initiation: Exploiting Physiological and Biomechanical Data.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022
Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education.
Future Gener. Comput. Syst., 2022

2021
Measuring and Predicting Students' Effort: A Study on the Feasibility of Cognitive Load Measures to Real-Life Scenarios.
Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

2020
Effects of recommendations on the playlist creation behavior of users.
User Model. User Adapt. Interact., 2020

Towards the exploitation of multimodal data to measure students' mental effort.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

An Approach to Model Children's Inhibition During Early Literacy and Numeracy Acquisition.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Learning Analytics Made in France: The METALproject.
CoRR, 2019

2018
How Automated Recommendations Affect the Playlist Creation Behavior of Users.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Music Recommendations.
Proceedings of the Collaborative Recommendations, 2018

2016
Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

2014
Automated Generation of Music Playlists: Survey and Experiments.
ACM Comput. Surv., 2014

Analyzing the Characteristics of Shared Playlists for Music Recommendation.
Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), 2014

Comparing Audio Features and Playlist Statistics for Music Classification.
Proceedings of the Analysis of Large and Complex Data, 2014

2013
What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

Evaluating The Quality of Generated Playlists Based on Hand-Crafted Samples.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

2012
Exploitation du skipping pour la modélisation prédictive des usages du web. Vers une meilleure prise en compte du bruit.
Rev. d'Intelligence Artif., 2012

2011
Handling Tabbing and Backward References for Predictive Web Usage Mining.
Proceedings of the KDIR 2011, 2011

2010
Vers des systèmes de recommandation robustes pour la navigation Web : inspiration de la modélisation statistique du langage. (Towards Robust Recommender Systems for Web Navigation: Inspiration from Statistical Language Modeling).
PhD thesis, 2010

Towards tabbing aware recommendations.
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia, 2010

Detecting Parallel Browsing to Improve Web Predictive Modeling.
Proceedings of the KDIR 2010, 2010

2009
History Dependent Recommender Systems Based on Partial Matching.
Proceedings of the User Modeling, 2009

A low-order markov model integrating long-distance histories for collaborative recommender systems.
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

2008
Using Skipping for Sequence-Based Collaborative Filtering.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008


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