Learning to Rank User Queries to Detect Search Tasks.
Claudio LuccheseFranco Maria NardiniSalvatore OrlandoGabriele TolomeiPublished in: ICTIR (2016)
Keyphrases
- learning to rank
- search tasks
- user queries
- test collection
- search result
- relevant documents
- web search engines
- ranking functions
- information retrieval
- information retrieval systems
- search engine
- retrieval model
- information seeking
- loss function
- user studies
- retrieval systems
- retrieval effectiveness
- document collections
- query processing
- document retrieval
- relevance judgments
- evaluation metrics
- evaluation measures
- query suggestion
- web queries
- user feedback
- web search
- keywords
- language model
- search behavior
- web databases
- query terms
- average precision
- query dependent
- relevance assessments
- retrieved documents
- ranked list
- query logs
- collaborative filtering
- search queries
- web pages
- ranking algorithm
- structured data
- supervised learning
- information extraction
- search sessions
- active learning
- databases