Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems.
Xiaoshuang ChenGengrui ZhangYao WangYulin WuShuo SuKaiqiao ZhanBen WangPublished 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