Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules.
Petr KrajcaMartin TrneckaPublished in: IDA (2021)
Keyphrases
- matrix factorization
- negative impact
- association rules
- missing data
- collaborative filtering
- low rank
- recommender systems
- data mining
- factorization methods
- data mining techniques
- nonnegative matrix factorization
- stochastic gradient descent
- variational bayesian
- factor analysis
- knowledge discovery
- missing values
- data matrix
- personalized ranking
- negative matrix factorization
- tensor factorization
- data sparsity
- binary matrix
- item recommendation