Negative Binomial Matrix Factorization for Recommender Systems.
Olivier GouvertThomas OberlinCédric FévottePublished in: CoRR (2018)
Keyphrases
- data analysis
- matrix factorization
- recommender systems
- negative binomial
- collaborative filtering
- contingency tables
- low rank
- cold start problem
- machine learning
- data mining
- negative matrix factorization
- factorization methods
- factor analysis
- user preferences
- nonnegative matrix factorization
- hierarchical model
- latent factors
- recommendation systems
- user feedback
- data sparsity
- probabilistic matrix factorization
- rating prediction
- user profiles
- cold start
- latent factor models
- implicit feedback
- item recommendation
- generative model
- sample size