NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems.
Santosh KabburGeorge KarypisPublished in: ICDM Workshops (2014)
Keyphrases
- factorization methods
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- implicit feedback
- user preferences
- nonnegative matrix factorization
- factor analysis
- negative matrix factorization
- personalized recommendation
- tensor factorization
- user model
- recommendation systems
- user interests
- latent factors
- data sets
- high order
- co occurrence
- feature selection