Reinforcement Learning for Neural Collaborative Filtering.
Alexandros I. MetsaiKonstantinos KaramitsiosKonstantinos KotrotsiosPeriklis ChatzimisiosGeorge StalidisKostas GoulianasPublished in: ICAIIC (2022)
Keyphrases
- collaborative filtering
- reinforcement learning
- fitted q iteration
- recommender systems
- transfer learning
- matrix factorization
- neural network
- network architecture
- function approximation
- user preferences
- optimal control
- data sparsity
- state space
- reinforcement learning algorithms
- supervised learning
- sensory inputs
- associative memory
- neural model
- robotic control
- information filtering
- multi agent
- dynamic programming
- active learning
- markov decision processes
- cold start problem
- machine learning
- probabilistic matrix factorization
- neighbor selection
- recommendation quality
- policy search
- neural fuzzy
- spiking neural networks
- learning process
- user ratings
- personalized recommendation
- user profiles
- model free
- bio inspired
- recommendation systems
- optimal policy