Improving Matrix Factorization-Based Recommender via Ensemble Methods.
Xin LuoYuanxin OuyangXiong ZhangPublished in: Int. J. Inf. Technol. Decis. Mak. (2011)
Keyphrases
- matrix factorization
- ensemble methods
- collaborative filtering
- recommender systems
- prediction accuracy
- random forests
- benchmark datasets
- decision trees
- machine learning methods
- low rank
- ensemble learning
- nonnegative matrix factorization
- base classifiers
- random forest
- negative matrix factorization
- factorization methods
- base learners
- bootstrap sampling
- user preferences
- missing data
- user ratings
- data sparsity
- tensor factorization
- loss function
- linear combination
- classification accuracy
- support vector
- learning algorithm
- machine learning
- data sets