User Tampering in Reinforcement Learning Recommender Systems.
Atoosa KasirzadehCharles EvansPublished in: AIES (2023)
Keyphrases
- recommender systems
- reinforcement learning
- collaborative filtering
- user preferences
- user profiles
- user model
- user profiling
- information overload
- user modeling
- recommendation quality
- user modelling
- cold start problem
- cold start
- matrix factorization
- end users
- user context
- data sparsity
- user interface
- trust aware
- personalized recommendation
- recommendation systems
- user interests
- digital images
- reinforcement learning algorithms
- implicit feedback
- temporal difference
- user feedback
- function approximation
- user satisfaction
- state space
- compound critiques