Parallel pairwise learning to rank for collaborative filtering.
A. Murat YagciTevfik AytekinFikret S. GürgenPublished in: Concurr. Comput. Pract. Exp. (2019)
Keyphrases
- learning to rank
- collaborative filtering
- pairwise
- loss function
- recommender systems
- matrix factorization
- data sparsity
- evaluation measures
- information retrieval
- direct optimization
- ranking svm
- ranking functions
- similarity measure
- learning to rank algorithms
- user preferences
- query dependent
- multi class
- evaluation metrics
- relevance judgments
- support vector
- implicit feedback
- user profiles
- pairwise classification
- bayesian networks
- exploration exploitation dilemma