Federated Recommender Systems with Learning to Rank.
Vito Walter AnelliYashar DeldjooTommaso Di NoiaAntonio FerraraFedelucio NarducciPublished in: SEBD (2021)
Keyphrases
- learning to rank
- recommender systems
- collaborative filtering
- ranking functions
- information retrieval
- evaluation measures
- matrix factorization
- loss function
- user preferences
- ranking svm
- direct optimization
- evaluation metrics
- user profiles
- user feedback
- digital libraries
- document retrieval
- learning to rank algorithms
- relevance judgments
- implicit feedback
- data sources
- retrieval systems
- recommendation systems
- collaborative filtering algorithms
- data sets
- exploration exploitation dilemma
- supervised learning
- similarity measure
- feature selection
- machine learning