A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation.
David E. LosadaJavier ParaparAlvaro BarreiroPublished in: Inf. Fusion (2018)
Keyphrases
- information retrieval evaluation
- test collection
- score distributions
- relevant documents
- relevance assessments
- ranked list
- relevance judgments
- retrieval systems
- retrieval effectiveness
- information retrieval
- document collections
- language model
- average precision
- document retrieval
- retrieval model
- rank aggregation
- document ranking
- meta search
- retrieved documents
- information retrieval systems
- search queries
- user feedback
- mixture model
- normal distribution
- learning to rank
- pseudo relevance feedback
- similarity search
- user queries
- database systems
- clustering algorithm