Document text characteristics affect the ranking of the most relevant documents by expanded structured queries.
Eero SormunenJaana KekäläinenJussi KoivistoKalervo JärvelinPublished in: J. Documentation (2001)
Keyphrases
- relevant documents
- structured queries
- information retrieval
- document ranking
- structured documents
- retrieved documents
- information retrieval systems
- retrieval effectiveness
- keywords
- ranked list
- document set
- test collection
- probabilistic retrieval models
- pseudo relevance feedback
- document retrieval
- document collections
- query expansion
- keyword queries
- text retrieval
- learning to rank
- user queries
- retrieval model
- related documents
- keyword search
- retrieval systems
- relevance model
- relevance feedback
- irrelevant documents
- text documents
- search engine
- ranking functions
- query terms
- ranking algorithm
- natural language text
- average precision
- text mining
- information seeking
- language modeling
- co occurrence
- document representation
- search queries
- web documents
- question answering
- database