Generalization error bounds for learning to rank: Does the length of document lists matter?
Ambuj TewariSougata ChaudhuriPublished in: ICML (2015)
Keyphrases
- learning to rank
- generalization error bounds
- ranking list
- information retrieval
- document retrieval
- retrieval systems
- ranking functions
- keyphrase extraction
- evaluation measures
- loss function
- ranking svm
- generalization error
- document collections
- information retrieval systems
- document clustering
- directly optimize
- direct optimization
- normalized discounted cumulative gain
- test collection
- language model
- search engine
- relevant documents
- query dependent
- collaborative filtering
- decision lists
- digital libraries
- learning to rank algorithms
- multimedia
- cross validation
- query expansion
- vector space model
- supervised learning
- relevance feedback
- learning algorithm