Estimating and Penalizing Induced Preference Shifts in Recommender Systems.
Micah CarrollDylan Hadfield-MenellStuart RussellAnca D. DraganPublished in: CoRR (2022)
Keyphrases
- recommender systems
- user preferences
- personal preferences
- collaborative filtering
- preference learning
- matrix factorization
- user profiling
- information filtering
- user modeling
- user feedback
- cold start problem
- personalized recommendation
- data sets
- user model
- user behavior
- neural network
- multiple criteria
- rigid body
- user profiles
- accurate estimation
- recommendation algorithms
- multi agent
- implicit feedback
- web pages
- preference elicitation
- genetic algorithm
- data mining