Low-Rank Factorization of Determinantal Point Processes for Recommendation.
Mike GartrellUlrich PaquetNoam KoenigsteinPublished in: CoRR (2016)
Keyphrases
- point processes
- low rank
- matrix factorization
- collaborative filtering
- recommender systems
- hot spots
- monte carlo
- linear combination
- convex optimization
- missing data
- singular value decomposition
- matrix completion
- non rigid structure from motion
- low rank matrix
- factorization methods
- high order
- semi supervised
- rank minimization
- high dimensional data
- image sequences
- data analysis
- spatial analysis
- data matrix
- machine learning
- tensor factorization
- singular values
- negative matrix factorization
- similarity measure