Cold-start Active Learning with Robust Ordinal Matrix Factorization.
Neil HoulsbyJosé Miguel Hernández-LobatoZoubin GhahramaniPublished in: ICML (2014)
Keyphrases
- matrix factorization
- cold start
- data sparsity
- collaborative filtering
- recommender systems
- cold start problem
- active learning
- implicit feedback
- item recommendation
- low rank
- factorization methods
- missing data
- transfer learning
- user ratings
- user preferences
- nonnegative matrix factorization
- semi supervised
- recommendation systems
- personalized recommendation
- labeled data
- image features