LEVIRANK: Limited Query Expansion with Voting Integration for Document Retrieval and Ranking.
Ashish RanaPujit GolchhaRoni JuntunenAndreea CoajaAhmed ElzamaranyChia-Chien HungSimone Paolo PonzettoPublished in: CLEF (Working Notes) (2022)
Keyphrases
- query expansion
- document retrieval
- document ranking
- language model
- relevant documents
- ranking functions
- retrieved documents
- relevance feedback
- pseudo relevance feedback
- learning to rank
- biomedical information retrieval
- information retrieval
- expert search
- retrieval model
- automatic query expansion
- language modeling
- ranking scheme
- blind feedback
- text retrieval
- document collections
- information retrieval systems
- query specific
- ranked list
- relevance model
- passage retrieval
- expansion terms
- retrieval effectiveness
- user feedback
- meta search
- ad hoc retrieval
- spreading activation
- probabilistic model
- smoothing methods
- cross language
- retrieval strategies
- query terms
- pseudo feedback
- language modeling framework
- rank aggregation
- expert finding
- document level
- text mining
- web search
- term selection
- vector space model
- ranking algorithm