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A Generative Theory of RelevanceRelevance

A Generative Theory of Relevance: Relevance [The notion of relevance serves as the foundation for the field of Information Retrieval. After all, the purpose of retrieval systems is to retrieve relevant items in response to user requests. Naturally, most users have a fairly good idea of what relevance is — it is a representation of their information need, a reflection of what they are searching for. However, in order to build and test effective retrieval systems we must translate the intuitive notion of relevance into a strict formalism, and that turns out to be somewhat of a challenge.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Generative Theory of RelevanceRelevance

Part of the The Information Retrieval Series Book Series (volume 26)
A Generative Theory of Relevance — Jan 1, 2009
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Publisher
Springer Berlin Heidelberg
Copyright
© Springer Berlin Heidelberg 2009
ISBN
978-3-540-89363-9
Pages
7 –35
DOI
10.1007/978-3-540-89364-6_2
Publisher site
See Chapter on Publisher Site

Abstract

[The notion of relevance serves as the foundation for the field of Information Retrieval. After all, the purpose of retrieval systems is to retrieve relevant items in response to user requests. Naturally, most users have a fairly good idea of what relevance is — it is a representation of their information need, a reflection of what they are searching for. However, in order to build and test effective retrieval systems we must translate the intuitive notion of relevance into a strict formalism, and that turns out to be somewhat of a challenge.]

Published: Jan 1, 2009

Keywords: Language Model; Machine Translation; Statistical Machine Translation; Relevance Judgment; Query Word

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