Augmenting Recurrent Neural Networks with High-Order User-Contextual Preference for Session-Based Recommendation.
Younghun SongJae-Gil LeePublished in: CoRR (2018)
Keyphrases
- high order
- recurrent neural networks
- user preferences
- recommender systems
- higher order
- collaborative filtering
- low order
- recommendation systems
- feed forward
- neural network
- echo state networks
- pairwise
- personal preferences
- recurrent networks
- user feedback
- neural model
- user interaction
- user behavior
- cascade correlation
- fourth order
- user profiles
- tensor analysis
- nonlinear dynamic systems
- user context
- user similarity
- machine learning
- information overload
- user interests
- contextual information
- artificial neural networks
- matrix factorization
- semi supervised
- decision trees
- computer vision
- artificial intelligence
- reservoir computing