Encoding User as More Than the Sum of Their Parts: Recurrent Neural Networks and Word Embedding for People-to-people Recommendation.
Antoine Lefebvre-BrossardAlexandre SpaethMichel C. DesmaraisPublished in: UMAP (2017)
Keyphrases
- recurrent neural networks
- recommender systems
- user preferences
- collaborative filtering
- recommendation systems
- neural network
- feedforward neural networks
- feed forward
- web page recommendation
- complex valued
- neural model
- user interaction
- echo state networks
- long tail
- cold start
- information overload
- recurrent networks
- item recommendation
- user interface
- artificial neural networks
- reservoir computing
- nonlinear dynamic systems
- user interests
- recommendation algorithms
- user profiles
- end users
- user model
- back propagation
- cascade correlation
- expert systems
- machine learning