Understanding Capacity-Driven Scale-Out Neural Recommendation Inference.
Michael LuiYavuz YetimÖzgür ÖzkanZhuoran ZhaoShin-Yeh TsaiCarole-Jean WuMark HempsteadPublished in: CoRR (2020)
Keyphrases
- making inferences
- network architecture
- neural network
- bayesian inference
- bayesian networks
- collaborative filtering
- data driven
- scale space
- bayesian model
- probabilistic inference
- hebbian learning
- bio inspired
- associative memory
- small scale
- scale invariant
- user preferences
- inference process
- artificial neural networks
- case study