Addressing delayed feedback for continuous training with neural networks in CTR prediction.
Sofia Ira KtenaAlykhan TejaniLucas TheisPranay Kumar MyanaDeepak DilipkumarFerenc HuszárSteven YooWenzhe ShiPublished in: RecSys (2019)
Keyphrases
- neural network
- multi layer perceptron
- training process
- delayed feedback
- training algorithm
- radial basis function network
- feedforward neural networks
- feed forward neural networks
- backpropagation algorithm
- prediction model
- prediction accuracy
- back propagation
- artificial neural networks to predict
- neural network training
- training phase
- prediction error
- neural networks and support vector machines
- neural network structure
- artificial neural networks
- neural network model
- multi layer
- training set
- error back propagation
- neural network ensemble
- prediction algorithm
- training patterns
- active learning
- genetic algorithm
- recurrent networks
- recurrent neural networks
- support vector machine
- fuzzy logic
- activation function
- training samples
- regression model
- feed forward