RecsysFR 6-2 - Olivier Grisel - Inria - Neural Networks for Recommender Systems
RecsysFR 6-1 - S. Lefebvre - Antvoice - Injecting semantic links into a graph-based recsys
RecsysFR 6-3 - Robbert Van Der Pluijm - Bibblio - How we built a 'local popularity' recommender
Flexible Recommender System Based On Graphs - Kernix - RecsysFR
Nava Tintarev - Explain yourself! Arguing with Recommender Systems
RecSys 2016: Paper Session 6 - Deep Neural Networks for YouTube Recommendations
MSSTATSeries | Ep.2 | A Guide to Recommender Systems
“Neural Networks for Recommender Systems” // Olivier Grisel - Senior Software Engineer at INRIA
DS 201510 10 4 Fundamental Concepts of Recommender Systems
Machine Learning for Recommender Systems with Alexandros Karatzoglou
RecSys 2016 - People Recommendation Tutorial
Maciej Kula | Neural Networks for Recommender Systems
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks
ACSW2020 - Lightening Talks - Ruihong Qiu
France is AI 2018: Olivier Grisel - Scikit-learn ML library last release and what's next
Paper Session 3: Predictability Limits in Session-based Next Item Recommendation - Priit Järv
EuroSciPy 2019 Bilbao - Histogram-based Gradient Boosting in scikit-learn 0.21 - Olivier Grisel
Guillaume Charpiat - Input Similarity from the Neural Network Perspective
SIGIR 2020 - GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation
Recommender Systems Live from FARCON 2017
