Five lessons from building a deep neural network recommender.
Simen EideAudun M. ØygårdNing ZhouPublished in: CoRR (2018)
Keyphrases
- neural network
- recommender systems
- pattern recognition
- artificial neural networks
- back propagation
- multi layer
- fuzzy artmap
- feed forward
- lessons learned
- genetic algorithm
- fault diagnosis
- neural network is trained
- collaborative filtering
- knn
- network model
- learning vector quantization
- hybrid neural network
- hybrid intelligent
- deep learning
- training algorithm
- neural nets
- self organizing maps
- user preferences
- real world