Matrix Factorization for Package Recommendations.
Agung Toto WibowoAdvaith SiddharthanChenghua LinJudith MasthoffPublished in: ComplexRec@RecSys (2017)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- cold start problem
- item recommendation
- low rank
- latent factor models
- negative matrix factorization
- missing data
- recommendation systems
- rating prediction
- nonnegative matrix factorization
- factor analysis
- factorization methods
- user preferences
- data sparsity
- variational bayesian
- implicit feedback
- factorization method
- stochastic gradient descent
- personalized recommendation
- recommendation algorithms
- user feedback
- user profiles
- cold start
- data matrix
- probabilistic matrix factorization
- user ratings
- tensor factorization
- data sets
- personalized ranking