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A Generative Theory of RelevanceIntroduction

A Generative Theory of Relevance: Introduction [Information Retrieval (IR) is a field of science concerned with searching for useful information in large, loosely structured or unstructured collections. In the 1970s, when the field was in its infancy, the word information primarily meant text, specifically the kinds of text one might find in a library. Today information exists in many more forms, often quite different from books or scientific articles which were the focus of early retrieval systems. Web searching is perhaps the most famed application of information retrieval today, and on the web we may find relevant information in the form of text, but also as images, as audio files, as video segments, even as hyper-links between various pages. A modern search system must have the capability to find, organize and present to the user all of these very different manifestations of information, because all of them may have some relevance to the user’s information need.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Generative Theory of RelevanceIntroduction

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
1 –5
DOI
10.1007/978-3-540-89364-6_1
Publisher site
See Chapter on Publisher Site

Abstract

[Information Retrieval (IR) is a field of science concerned with searching for useful information in large, loosely structured or unstructured collections. In the 1970s, when the field was in its infancy, the word information primarily meant text, specifically the kinds of text one might find in a library. Today information exists in many more forms, often quite different from books or scientific articles which were the focus of early retrieval systems. Web searching is perhaps the most famed application of information retrieval today, and on the web we may find relevant information in the form of text, but also as images, as audio files, as video segments, even as hyper-links between various pages. A modern search system must have the capability to find, organize and present to the user all of these very different manifestations of information, because all of them may have some relevance to the user’s information need.]

Published: Jan 1, 2009

Keywords: Information Retrieval; Latent Dirichlet Allocation; Relevance Feedback; Image Annotation; Latent Semantic Indexing

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