Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation.
Jongjin KimHyunsik JeonJaeri LeeU KangPublished in: PAKDD (3) (2023)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- factorization methods
- tensor factorization
- implicit feedback
- rating prediction
- missing data
- factor analysis
- recommendation systems
- probabilistic matrix factorization
- negative matrix factorization
- personalized ranking
- user preferences
- nonnegative matrix factorization
- personalized recommendation
- recommendation algorithms
- factorization method
- data matrix
- stochastic gradient descent
- user ratings
- user profiles
- latent factors
- user feedback
- variational bayesian
- search engine