Mining Concepts from Incomplete Datasets Utilizing Matrix Factorization.
Lenka PiskováStefan PeroTomás HorváthStanislav KrajciPublished in: CLA (2012)
Keyphrases
- matrix factorization
- missing data
- collaborative filtering
- low rank
- recommender systems
- stochastic gradient descent
- negative matrix factorization
- nonnegative matrix factorization
- factorization methods
- data matrix
- missing values
- implicit feedback
- factor analysis
- data sparsity
- variational bayesian
- item recommendation
- knowledge discovery
- incomplete data
- personalized ranking
- data sets
- probabilistic matrix factorization
- text mining
- latent factors
- nearest neighbor
- data mining