Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Fan YaoChuanhao LiKarthik Abinav SankararamanYiming LiaoYan ZhuQifan WangHongning WangHaifeng XuPublished in: CoRR (2023)
Keyphrases
- recommender systems
- collaborative filtering
- free riding
- incentive mechanism
- reinforcement learning
- markov decision processes
- information overload
- user preferences
- matrix factorization
- user modeling
- upper bound
- multiarmed bandit
- cold start problem
- long term and short term
- multi armed bandits
- user profiling
- information filtering
- technology enhanced learning
- latent factor models
- recommendation quality
- bandit problems
- user interests
- boolean functions
- personalized recommendation
- user context
- recommendation systems
- moral hazard
- credit assignment
- item based collaborative filtering
- pricing schemes
- user model