Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Fan YaoChuanhao LiKarthik Abinav SankararamanYiming LiaoYan ZhuQifan WangHongning WangHaifeng XuPublished in: NeurIPS (2023)
Keyphrases
- recommender systems
- collaborative filtering
- incentive mechanism
- free riding
- reinforcement learning
- upper bound
- multiarmed bandit
- matrix factorization
- trust aware
- information filtering
- cold start problem
- user preferences
- user profiling
- long term and short term
- bandit problems
- uniform distribution
- user modeling
- information overload
- recommendation quality
- boolean functions
- markov decision processes
- user profiles
- personalized recommendation
- implicit feedback
- user interests
- mechanism design
- recommendation algorithms
- personalized services
- product recommendation
- knowledge sharing
- pricing schemes