Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization.
Smriti BhagatUdi WeinsbergStratis IoannidisNina TaftPublished in: CoRR (2013)
Keyphrases
- matrix factorization
- active learning
- collaborative filtering
- recommender systems
- low rank
- negative matrix factorization
- missing data
- factorization methods
- nonnegative matrix factorization
- data sparsity
- transfer learning
- factor analysis
- supervised learning
- latent factor models
- variational bayesian
- tensor factorization
- recommendation systems
- semi supervised
- personalized recommendation
- user profiles
- personalized ranking
- latent factors
- probabilistic matrix factorization
- stochastic gradient descent
- random sampling
- user preferences
- user ratings
- labeled data
- high dimensional
- rating prediction
- machine learning
- data sets