Lucas Maystre
Lucas Maystre
Research Scientist, Spotify
Verified email at - Homepage
Cited by
Cited by
Fast and accurate inference of plackett–luce models
L Maystre, M Grossglauser
Advances in neural information processing systems 28, 172-180, 2015
Just sort it! A simple and effective approach to active preference learning
L Maystre, M Grossglauser
Proceedings of ICML 2017, 2017
Collaborative recurrent neural networks for dynamic recommender systems
YJ Ko, L Maystre, M Grossglauser
Asian Conference on Machine Learning, 366-381, 2016
Algorithmic effects on the diversity of consumption on spotify
A Anderson, L Maystre, I Anderson, R Mehrotra, M Lalmas
Proceedings of The Web Conference 2020, 2155-2165, 2020
Mitigating epidemics through mobile micro-measures
M Kafsi, E Kazemi, L Maystre, L Yartseva, M Grossglauser, P Thiran
arXiv preprint arXiv:1307.2084, 2013
ChoiceRank: Identifying Preferences from Node Traffic in Networks
L Maystre, M Grossglauser
Proceedings of ICML 2017, 2017
The player kernel: learning team strengths based on implicit player contributions
L Maystre, V Kristof, AJG Ferrer, M Grossglauser
arXiv preprint arXiv:1609.01176, 2016
Can Who-Edits-What Predict Edit Survival?
AB Yardim, V Kristof, L Maystre, M Grossglauser
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge†…, 2018
Contextual and sequential user embeddings for large-scale music recommendation
C Hansen, C Hansen, L Maystre, R Mehrotra, B Brost, F Tomasi, ...
Fourteenth ACM Conference on Recommender Systems, 53-62, 2020
Pairwise Comparisons with Flexible Time-Dynamics
L Maystre, V Kristof, M Grossglauser
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge†…, 2019
Efficient Learning from Comparisons
L Maystre
EPFL, 2018
choix Documentation
L Maystre
Collaborative Classification from Noisy Labels
L Maystre, N Kumarappan, J BŁtepage, M Lalmas
International Conference on Artificial Intelligence and Statistics, 1639-1647, 2021
Shifting Consumption towards Diverse Content on Music Streaming Platforms
C Hansen, R Mehrotra, C Hansen, B Brost, L Maystre, M Lalmas
Proceedings of the 14th ACM International Conference on Web Search and Data†…, 2021
Where To Next? A Dynamic Model of User Preferences
FS Passino, L Maystre, D Moor, A Anderson, M Lalmas
A User Study of Perceived Carbon Footprint
V Kristof, V Quelquejay-LeclŤre, R Zbinden, L Maystre, M Grossglauser, ...
arXiv preprint arXiv:1911.11658, 2019
Scalable and Efficient Comparison-based Search without Features
D Chumbalov, L Maystre, M Grossglauser
arXiv preprint arXiv:1905.05049, 2019
Music Recommendation to Groups
L Maystre
Phinishing Phishing: Bridging the Gap Between User and Browser
L Maystre
The system can't perform the operation now. Try again later.
Articles 1–19