Achieving high accuracy retrieval using intra-document term ranking.
Hyun-Wook WooJung-Tae LeeSeung-Wook LeeYoung-In SongHae-Chang RimPublished in: SIGIR (2010)
Keyphrases
- passage retrieval
- relevance model
- document ranking
- achieving high accuracy
- document retrieval
- retrieval model
- language model
- query expansion
- information retrieval
- focused retrieval
- retrieval systems
- probabilistic retrieval models
- term weights
- ranking functions
- pseudo feedback
- learning to rank
- high accuracy
- pseudo relevance feedback
- term frequency
- document structure
- query terms
- relevance feedback
- high speed
- language modeling framework
- ad hoc retrieval
- retrieved documents
- vector space model
- retrieval quality
- document length
- document level
- information retrieval systems
- term dependencies
- probabilistic retrieval model
- okapi bm
- query specific
- maximal marginal relevance
- retrieval strategies
- keywords
- document representation
- term weighting
- tf idf
- ranked list
- document collections
- ad hoc information retrieval
- retrieval effectiveness
- text retrieval
- term dependence
- user queries
- test collection
- relevance scores
- co occurrence
- text classification
- relevant documents
- documents retrieved
- query independent
- initial query
- effective retrieval
- average precision