Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation.
Agung Toto WibowoAdvaith SiddharthanJudith MasthoffChenghua LinPublished in: UMAP (2018)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- item recommendation
- low rank
- cold start problem
- latent factor models
- missing data
- nonnegative matrix factorization
- negative matrix factorization
- factor analysis
- personalized ranking
- recommendation systems
- factorization methods
- implicit feedback
- rating prediction
- variational bayesian
- probabilistic matrix factorization
- user preferences
- stochastic gradient descent
- data matrix
- personalized recommendation
- factorization method
- latent factors
- cold start
- tensor factorization
- recommendation algorithms
- constraint programming