On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems.
A. Murat YagciTevfik AytekinFikret S. GürgenPublished in: RecSys (2017)
Keyphrases
- learning to rank
- pairwise
- collaborative filtering recommender systems
- collaborative filtering
- loss function
- recommender systems
- item based collaborative filtering
- ranking functions
- personalized recommendation
- matrix factorization
- evaluation measures
- information retrieval
- multi class
- ranking svm
- semi supervised
- document retrieval
- similarity measure
- direct optimization
- user preferences
- user feedback
- recommendation systems
- supervised learning
- relevance judgments
- data sparsity
- learning to rank algorithms
- test collection
- support vector
- cold start problem
- training data
- pairwise classification
- feature extraction