Alternating least squares for personalized ranking.
Gábor TakácsDomonkos TikkPublished in: RecSys (2012)
Keyphrases
- personalized ranking
- alternating least squares
- matrix factorization
- negative matrix factorization
- nonnegative matrix factorization
- stochastic gradient descent
- item recommendation
- collaborative filtering
- implicit feedback
- low rank approximation
- low rank
- missing data
- recommender systems
- bayesian analysis
- singular value decomposition
- loss function
- principal component analysis
- spectral clustering
- subspace learning
- retrieval model
- eye tracking
- least squares