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A Generative Theory of RelevanceA Generative View of Relevance

A Generative Theory of Relevance: A Generative View of Relevance [In this chapter we will introduce the central idea of our work — the idea that relevance can be viewed as a stochastic process underlying both information items and user requests. We will start our discussion at a relatively high level and gradually add specifics, as we develop the model in a top-down fashion.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Generative Theory of RelevanceA Generative View of Relevance

Part of the The Information Retrieval Series Book Series (volume 26)
Springer Journals — Jan 1, 2009
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34 pages

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Publisher
Springer Berlin Heidelberg
Copyright
© Springer Berlin Heidelberg 2009
ISBN
978-3-540-89363-9
Pages
37 –70
DOI
10.1007/978-3-540-89364-6_3
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter we will introduce the central idea of our work — the idea that relevance can be viewed as a stochastic process underlying both information items and user requests. We will start our discussion at a relatively high level and gradually add specifics, as we develop the model in a top-down fashion.]

Published: Jan 1, 2009

Keywords: Generative View; Relevant Document; Relevance Model; Retrieval Model; Information Space

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