A deep neural network-based collaborative filtering using a matrix factorization with a twofold regularization.
Armielle Noulapeu NgaffoZièd ChoukairPublished in: Neural Comput. Appl. (2022)
Keyphrases
- matrix factorization
- collaborative filtering
- stochastic gradient descent
- recommender systems
- data sparsity
- low rank
- probabilistic matrix factorization
- factorization methods
- recommendation systems
- user preferences
- regularization parameter
- nonnegative matrix factorization
- personalized ranking
- negative matrix factorization
- cold start problem
- tensor factorization
- variational bayesian
- factor analysis
- item recommendation
- personalized recommendation
- recommendation quality
- implicit feedback
- latent factors
- user interests
- user profiles
- least squares