Triplet Losses-based Matrix Factorization for Robust Recommendations.
Flavio GiobergiaPublished in: CoRR (2022)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- item recommendation
- cold start problem
- low rank
- low rank matrix
- negative matrix factorization
- latent factor models
- missing data
- factorization methods
- nonnegative matrix factorization
- factor analysis
- stochastic gradient descent
- latent factors
- personalized ranking
- pairwise
- probabilistic matrix factorization
- variational bayesian
- factorization method
- data matrix
- implicit feedback
- user preferences