Predicting IR personalization performance using pre-retrieval query predictors.
Eduardo Vicente-LópezLuis M. de CamposJuan M. Fernández-LunaJuan F. HuetePublished in: J. Intell. Inf. Syst. (2018)
Keyphrases
- query performance prediction
- query expansion
- query difficulty
- relevance feedback
- information retrieval
- retrieval quality
- web retrieval
- boolean queries
- information retrieval systems
- retrieval systems
- retrieval effectiveness
- post retrieval
- ad hoc retrieval
- retrieval model
- retrieval accuracy
- query terms
- retrieval method
- average precision
- query formulation
- query length
- exact match
- original query
- retrieval process
- text retrieval
- query suggestion
- efficient retrieval
- image retrieval
- ranked retrieval
- structured queries
- query specific
- distributed information retrieval
- term dependencies
- document retrieval
- user queries
- indexing techniques
- term selection
- relevance judgments
- document ranking
- ir models
- query processing
- multiple queries
- relevance assessments
- term weighting
- web search
- language model
- retrieval strategies
- test collection
- pseudo relevance feedback
- short queries
- user profiles
- resource selection
- relevance model
- evaluation measures
- highly relevant documents
- web search engines