Estimating and Penalizing Induced Preference Shifts in Recommender Systems.
Micah D. CarrollAnca D. DraganStuart RussellDylan Hadfield-MenellPublished in: ICML (2022)
Keyphrases
- recommender systems
- user preferences
- collaborative filtering
- personal preferences
- matrix factorization
- preference learning
- user modeling
- user profiling
- data sets
- user behavior
- cold start problem
- information overload
- individual preferences
- user modelling
- cold start
- personalized recommendation
- soft constraints
- rigid body
- preference elicitation
- recommendation systems
- multi attribute
- user profiles
- user similarity
- neural network
- database