A Generative Theory of Relevance: Introduction
2009-01-01 00:00:00
[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.pnghttp://www.deepdyve.com/lp/springer-journals/a-generative-theory-of-relevance-introduction-jcI1qfc0MH
[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.]
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.