Thibaut Thonet

Orcid: 0000-0003-0302-0376

According to our database1, Thibaut Thonet authored at least 18 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models.
CoRR, 2024

2023
SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments.
CoRR, 2023

Generative Slate Recommendation with Reinforcement Learning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022
Offline Evaluation for Reinforcement Learning-Based Recommendation: A Critical Issue and Some Alternatives.
SIGIR Forum, December, 2022

Joint Personalized Search and Recommendation with Hypergraph Convolutional Networks.
Proceedings of the Advances in Information Retrieval, 2022

Listwise Learning to Rank Based on Approximate Rank Indicators.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics.
CoRR, 2021

GReS: Workshop on Graph Neural Networks for Recommendation and Search.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020
Deep <i>k</i>-Means: Jointly clustering with <i>k</i>-Means and learning representations.
Pattern Recognit. Lett., 2020

Multi-grouping Robust Fair Ranking.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Seed-Guided Deep Document Clustering.
Proceedings of the Advances in Information Retrieval, 2020

2019
University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

2018
Deep k-Means: Jointly Clustering with k-Means and Learning Representations.
CoRR, 2018

2017
Modèles thématiques pour la découverte non supervisée de points de vue sur le Web. (Topic Models for Unsupervised Discovery of Viewpoints on the Web).
PhD thesis, 2017

Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
VODUM: A Topic Model Unifying Viewpoint, Topic and Opinion Discovery.
Proceedings of the Advances in Information Retrieval, 2016

2015
Suggestion contextuelle composite.
Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

2014
University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014


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