Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation.
Jongjin KimHyunsik JeonJaeri LeeU KangPublished in: CoRR (2022)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- low rank
- latent factor models
- factor analysis
- negative matrix factorization
- factorization methods
- recommendation systems
- tensor factorization
- implicit feedback
- nonnegative matrix factorization
- missing data
- least squares
- user preferences
- stochastic gradient descent
- rating prediction
- variational bayesian
- personalized ranking
- factorization method
- probabilistic model
- probabilistic matrix factorization
- cold start
- user profiles
- low rank matrix
- latent factors
- tag recommendation
- recommendation algorithms