Query by document via a decomposition-based two-level retrieval approach.
Linkai WengZhiwei LiRui CaiYaoxue ZhangYuezhi ZhouLaurence Tianruo YangLei ZhangPublished in: SIGIR (2011)
Keyphrases
- retrieval systems
- query specific
- information retrieval systems
- query terms
- retrieval engine
- document ranking
- query expansion
- retrieval quality
- user queries
- documents retrieved
- relevance feedback
- document retrieval
- information retrieval
- multimedia documents
- web retrieval
- retrieval strategies
- current web search engines
- retrieval accuracy
- similar documents
- initial query
- original query
- term dependence
- effective retrieval
- ad hoc retrieval
- search engine
- relevant documents
- retrieval model
- document content
- keywords
- retrieval method
- document collections
- retrieval process
- text retrieval
- relevance ranking
- test collection
- structured documents
- retrieved documents
- efficient retrieval
- document length
- query independent
- pseudo feedback
- average precision
- query formulation
- pseudo relevance feedback
- indexing techniques
- document search
- query words
- language model
- content and structure
- related documents
- retrieve documents
- relevance scores
- retrieval effectiveness
- probabilistic retrieval models
- inter document similarities
- term dependencies
- web search
- index terms
- query refinement
- document analysis
- query dependent
- image retrieval
- text documents
- search interface
- relevance model
- relevance assessments
- vector space model
- ranked list
- document clustering
- document space
- document structure
- query processing
- keyword queries
- document level
- document images
- similarity search
- image database
- boolean queries