Improving test collection pools with machine learning.
Gaya K. JayasingheWilliam WebberMark SandersonJ. Shane CulpepperPublished in: ADCS (2014)
Keyphrases
- test collection
- machine learning
- retrieval effectiveness
- information retrieval
- document collections
- evaluation methodology
- retrieval systems
- relevant documents
- retrieval model
- language model
- search tasks
- average precision
- relevance judgments
- text classification
- ir evaluation
- chinese web
- relevance assessments
- evaluation of information retrieval systems
- trec web
- text mining
- supervised learning
- evaluation campaigns
- newspaper articles
- relevance judgements
- information extraction
- learning algorithm
- evaluation methods
- xml retrieval
- learning to rank
- trec web track
- recommender systems