A Survey on Reinforcement Learning for Recommender Systems.

Yuanguo Lin Yong Liu Fan Lin Pengcheng Wu Wenhua Zeng Chunyan Miao

Published in: CoRR (2021)

Keyphrases

recommender systems
reinforcement learning
collaborative filtering
function approximation
user profiles
learning algorithm
state space
trust aware

matrix factorization
information overload
machine learning
temporal difference
model free
optimal policy
learning problems
transfer learning

user modeling
multi agent
user model
markov decision processes
multi agent reinforcement learning
user preferences
search engine
optimal control

information filtering
learning process
recommendation algorithms
temporal difference learning
cold start problem
autonomous learning
personal preferences
policy search