Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems.

Xiaoshuang Chen Gengrui Zhang Yao Wang Yulin Wu Shuo Su Kaiqiao Zhan Ben Wang

Published in: CoRR (2024)

Keyphrases

recommender systems
reinforcement learning
collaborative filtering
function approximation
matrix factorization
real world
cold start problem

real life
markov decision processes
optimal policy
user profiles
state space
learning process
neural network

small scale
user modeling
mobile robot
main memory
user model
query processing
prefetching

back end
information overload
personalized recommendation
user profiling
learning algorithm
recommendation quality