Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers.
Róbert Busa-FeketeBalázs KéglTamás ÉltetöGyörgy SzarvasPublished in: Mach. Learn. (2013)
Keyphrases
- learning to rank
- multi class classifiers
- multi class
- multi class svm
- ranking functions
- information retrieval
- base classifiers
- loss function
- ranking svm
- confusion matrices
- ensemble methods
- ensemble learning
- document retrieval
- decision trees
- collaborative filtering
- retrieval systems
- learning to rank algorithms
- supervised learning
- multi class classification
- test collection
- bayesian networks
- data sets
- directly optimize
- confusion matrix
- support vector machine
- base learners
- recommender systems
- learning problems
- information retrieval systems
- web search
- knn