GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems.
Chris DeotteBo LiuBenedikt SchiffererGilberto TitericzPublished in: RecSys Challenge (2021)
Keyphrases
- gpu accelerated
- recommender systems
- neural network
- collaborative filtering
- finite element
- real time
- decision trees
- pattern recognition
- user preferences
- sequence alignment
- artificial neural networks
- matrix factorization
- genetic algorithm
- fuzzy logic
- tree structure
- user profiles
- fuzzy decision trees
- cold start problem
- user profiling
- information overload
- user model
- random forests
- neural network model
- recommendation systems
- personalized recommendation
- convergence rate
- product recommendation
- back propagation