Constructing Test Collections using Multi-armed Bandits and Active Learning.
Md. Mustafizur RahmanMücahid KutluMatthew LeasePublished in: WWW (2019)
Keyphrases
- test collection
- multi armed bandits
- active learning
- information retrieval
- retrieval model
- average precision
- retrieval effectiveness
- language model
- relevant documents
- document collections
- information retrieval evaluation
- retrieval systems
- bandit problems
- evaluation methodology
- relevance judgments
- patent retrieval
- evaluation of information retrieval systems
- learning algorithm
- ir evaluation
- supervised learning
- relevance feedback
- semi supervised
- relevance judgements
- multi armed bandit
- ad hoc retrieval
- relevance assessments
- learning to rank
- information retrieval systems
- clef evaluation campaign
- training set
- evaluation campaigns
- machine learning
- feature selection
- feature space
- learning process