Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.
Yehezkel S. ResheffYanai ElazarMoni ShaharOren Sar ShalomPublished in: ICPRAM (2019)
Keyphrases
- recommender systems
- collaborative filtering
- user preferences
- user profiles
- user model
- information overload
- user modeling
- user feedback
- user interests
- training set
- user interaction
- cold start
- privacy preserving
- user ratings
- active user
- content based filtering
- user profiling
- recommendation quality
- multi agent
- collaborative filtering recommender systems
- personal information
- user interface
- user requirements
- private information
- privacy preserving data mining
- implicit feedback
- matrix factorization
- third party
- product recommendation
- user modelling
- user experience
- user behavior
- end users
- social awareness