Query-driven Segment Selection for Ranking Long Documents.
Youngwoo KimRazieh RahimiHamed R. BonabJames AllanPublished in: CoRR (2021)
Keyphrases
- document ranking
- documents retrieved
- query specific
- user queries
- retrieved documents
- ranking list
- document relevance
- ranked list
- relevant documents
- query expansion
- result set
- query terms
- relevance ranking
- information retrieval systems
- retrieval systems
- query independent
- relevance scores
- query topic
- inter document similarities
- original query
- document retrieval
- click logs
- result list
- information retrieval
- keywords
- database
- expert finding
- web search
- learning to rank
- expert search
- keyword queries
- retrieval quality
- short queries
- ranking models
- document collections
- query processing
- retrieval process
- relevance model
- relevance feedback
- relevance judgments
- query dependent
- ranking functions
- pseudo feedback
- relevance assessments
- retrieval strategies
- search engine
- federated search
- boolean queries
- search result diversification
- search queries
- distributed information retrieval
- highly ranked
- irrelevant documents
- metasearch engine
- language model
- retrieve documents
- document set
- pseudo relevance feedback
- keyword search
- vector space
- test collection
- ad hoc retrieval
- multimedia documents
- web retrieval
- retrieval effectiveness
- single document summarization
- content similarity
- human relevance judgments
- similar documents
- meta search
- effective retrieval
- search result
- average precision
- user feedback
- text documents
- ranking svm
- user clicks
- entity ranking
- similarity scores
- multi document summarization
- ambiguous queries
- inverted index
- link analysis
- xml documents