McRank: Learning to Rank Using Multiple Classification and Gradient Boosting.
Ping LiChristopher J. C. BurgesQiang WuPublished in: NIPS (2007)
Keyphrases
- learning to rank
- loss function
- gradient boosting
- ranking functions
- information retrieval
- supervised learning
- support vector
- classification accuracy
- feature space
- machine learning
- feature extraction
- decision trees
- text classification
- collaborative filtering
- support vector machine
- support vector machine svm
- feature vectors
- classification algorithm
- document retrieval
- information extraction
- class labels
- svm classifier
- feature selection
- search engine
- cost sensitive
- pairwise