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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
verfasst von : Matthew Lease, James Allan, W. Bruce Croft
Erschienen in: Advances in Information Retrieval
Verlag: Springer Berlin Heidelberg
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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.