Hierarchical matrix factorization for interpretable collaborative filtering.
Kai SugaharaKazushi OkamotoPublished in: Pattern Recognit. Lett. (2024)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- low rank
- probabilistic matrix factorization
- factorization methods
- negative matrix factorization
- item recommendation
- missing data
- factor analysis
- nonnegative matrix factorization
- recommendation systems
- implicit feedback
- data matrix
- factorization method
- cold start problem
- variational bayesian
- pairwise
- personalized ranking
- rating prediction
- recommendation quality
- tensor factorization
- clustering method
- user ratings
- user preferences