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ECIR
2009
Springer

Regression Rank: Learning to Meet the Opportunity of Descriptive Queries

14 years 9 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on past queries is used to estimate term weights for new queries. This generalization is achieved by introducing secondary features correlated with term weights and applying regression to predict term weights given features. To improve support for more focused retrieval like question answering, we conduct document retrieval experiments with TREC description queries on three document collections. Results show significantly improved retrieval accuracy.
Matthew Lease, James Allan, W. Bruce Croft
Added 08 Mar 2010
Updated 08 Mar 2010
Type Conference
Year 2009
Where ECIR
Authors Matthew Lease, James Allan, W. Bruce Croft
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