Matrix factorization based heuristics for constraint-based recommenders.
Seda Polat ErdenizAlexander FelfernigRalph SamerMuesluem AtasPublished in: SAC (2019)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- data sparsity
- nonnegative matrix factorization
- factor analysis
- negative matrix factorization
- personalized recommendation
- variational bayesian
- stochastic gradient descent
- implicit feedback
- recommendation systems
- user preferences
- factorization method
- factorization methods
- constraint satisfaction
- missing data
- data matrix
- binary matrix
- factor matrices
- probabilistic matrix factorization
- tensor factorization
- user feedback
- user profiles
- image features