Learning to rank for recommender systems.
Alexandros KaratzoglouLinas BaltrunasYue ShiPublished in: RecSys (2013)
Keyphrases
- learning to rank
- recommender systems
- collaborative filtering
- matrix factorization
- loss function
- ranking functions
- information retrieval
- evaluation measures
- user preferences
- user feedback
- document retrieval
- ranking svm
- implicit feedback
- direct optimization
- personalized recommendation
- retrieval systems
- relevance judgments
- data sets
- evaluation metrics
- recommendation systems
- learning to rank algorithms
- recommendation algorithms
- user profiles
- query dependent
- ranking list
- user behavior