Using Supervised Machine Learning to Automatically Build Relevance Judgments for a Test Collection.
Mireille MakaryMichael P. OakesRuslan MitkovFadi YamoutPublished in: DEXA Workshops (2017)
Keyphrases
- test collection
- supervised machine learning
- relevance judgments
- retrieval effectiveness
- retrieval systems
- information retrieval
- relevant documents
- document collections
- average precision
- retrieval model
- language model
- relevance assessments
- manually annotated
- web search engines
- active learning
- information retrieval evaluation
- supervised learning
- relevance feedback
- search engine
- learning to rank
- queries and relevance judgments
- web search
- relevance judgements
- xml retrieval
- user feedback
- machine learning
- information extraction
- document retrieval
- user queries
- user interaction