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Thibaut Thonet
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2020 – today
- 2024
- [j3]Romain Deffayet
, Thibaut Thonet
, Dongyoon Hwang
, Vassilissa Lehoux
, Jean-Michel Renders
, Maarten de Rijke
:
SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments. Trans. Recomm. Syst. 2(3): 25:1-25:34 (2024) - [i6]Thibaut Thonet, Jos Rozen, Laurent Besacier:
ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models. CoRR abs/2403.20262 (2024) - 2023
- [c11]Romain Deffayet
, Thibaut Thonet
, Jean-Michel Renders
, Maarten de Rijke
:
Generative Slate Recommendation with Reinforcement Learning. WSDM 2023: 580-588 - [i5]Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke:
Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives. CoRR abs/2301.00993 (2023) - [i4]Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke:
Generative Slate Recommendation with Reinforcement Learning. CoRR abs/2301.08632 (2023) - [i3]Romain Deffayet, Thibaut Thonet, Dongyoon Hwang, Vassilissa Lehoux, Jean-Michel Renders, Maarten de Rijke:
SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments. CoRR abs/2311.16586 (2023) - 2022
- [j2]Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke
:
Offline Evaluation for Reinforcement Learning-Based Recommendation: A Critical Issue and Some Alternatives. SIGIR Forum 56(2): 3:1-3:14 (2022) - [c10]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li
, Jean-Michel Renders:
Listwise Learning to Rank Based on Approximate Rank Indicators. AAAI 2022: 8494-8502 - [c9]Thibaut Thonet, Jean-Michel Renders, Mario Choi, Jinho Kim:
Joint Personalized Search and Recommendation with Hypergraph Convolutional Networks. ECIR (1) 2022: 443-456 - 2021
- [c8]Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein:
GReS: Workshop on Graph Neural Networks for Recommendation and Search. RecSys 2021: 780-782 - [i2]Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. CoRR abs/2105.00942 (2021) - 2020
- [j1]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly clustering with k-Means and learning representations. Pattern Recognit. Lett. 138: 185-192 (2020) - [c7]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Seed-Guided Deep Document Clustering. ECIR (1) 2020: 3-16 - [c6]Thibaut Thonet, Jean-Michel Renders:
Multi-grouping Robust Fair Ranking. SIGIR 2020: 2077-2080
2010 – 2019
- 2019
- [c5]Graham McDonald, Iadh Ounis, Craig Macdonald, Thibaut Thonet, Jean-Michel Renders:
University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. TREC 2019 - 2018
- [i1]Maziar Moradi Fard, Thibaut Thonet, Éric Gaussier:
Deep k-Means: Jointly Clustering with k-Means and Learning Representations. CoRR abs/1806.10069 (2018) - 2017
- [b1]Thibaut Thonet:
Modèles thématiques pour la découverte non supervisée de points de vue sur le Web. (Topic Models for Unsupervised Discovery of Viewpoints on the Web). Paul Sabatier University, Toulouse, France, 2017 - [c4]Thibaut Thonet, Guillaume Cabanac
, Mohand Boughanem, Karen Pinel-Sauvagnat
:
Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks. CIKM 2017: 87-96 - 2016
- [c3]Thibaut Thonet, Guillaume Cabanac
, Mohand Boughanem, Karen Pinel-Sauvagnat
:
VODUM: A Topic Model Unifying Viewpoint, Topic and Opinion Discovery. ECIR 2016: 533-545 - 2015
- [c2]Thibaut Thonet, Romain Deveaud, Iadh Ounis, Craig Macdonald:
Suggestion contextuelle composite. CORIA 2015: 89-104 - 2014
- [c1]Richard McCreadie, Romain Deveaud, M-Dyaa Albakour, Stuart Mackie, Nut Limsopatham, Craig Macdonald, Iadh Ounis, Thibaut Thonet, Bekir Taner Dinçer:
University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. TREC 2014
Coauthor Index
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last updated on 2024-07-05 20:13 CEST by the dblp team
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