Crowdsourced Top-k Queries by Confidence-Aware Pairwise Judgments.
Ngai Meng KouYan LiHao WangLeong Hou UZhiguo GongPublished in: SIGMOD Conference (2017)
Keyphrases
- pairwise
- query processing
- relevance judgments
- relevance assessments
- test collection
- web search engines
- result set
- retrieval systems
- user defined
- learning to rank
- efficient processing
- approximate answers
- retrieval effectiveness
- query evaluation
- user queries
- skyline queries
- average precision
- query result
- database
- aggregation queries
- query formulation
- complex queries
- relevance feedback
- response time
- database queries
- similarity measure
- user feedback
- data model
- markov random field
- information retrieval systems
- candidate set
- similarity search
- query optimization
- search engine
- exact and approximate
- image retrieval
- database systems
- query language
- multi class
- cost model
- evaluation measures
- data objects
- language model
- relevant documents