GPU Accelerated Feature Engineering and Training for Recommender Systems.
Benedikt SchiffererGilberto TitericzChris DeotteChristof HenkelKazuki OnoderaJiwei LiuBojan TunguzEven OldridgeGabriel de Souza Pereira MoreiraAhmet ErdemPublished in: RecSys Challenge (2020)
Keyphrases
- gpu accelerated
- feature engineering
- recommender systems
- dependency parsing
- finite element
- machine learning
- labeled data
- natural language processing
- collaborative filtering
- text classification
- real time
- training set
- training process
- supervised learning
- active learning
- pattern recognition
- speech processing
- decision trees
- data sets