Randomized algorithms for precise measurement of differentially-private, personalized recommendations.
Allegra LaroYanqing ChenHao HeBabak AghazadehPublished in: CoRR (2023)
Keyphrases
- differentially private
- randomized algorithms
- personalized recommendation
- differential privacy
- collaborative filtering
- recommender systems
- approximation algorithms
- lower bound
- worst case
- web users
- user interests
- randomized algorithm
- user feedback
- practical problems
- user preferences
- website
- information overload
- data mining
- privacy preserving