Estimating the query difficulty for information retrieval

Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users' queries. Even for systems that succeed very well on average, the quality of results returned for some of the queries is poor. Thus, it is desirable that IR systems will be able to ide...

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Main Author: Carmel, David.
Other Authors: Yom-Tov, Elad.
Format: Book Electronic
Language:English
Published:San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2010.
Series:Synthesis digital library of engineering and computer science.
Synthesis lectures on information concepts, retrieval, and services, # 15.
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Online Access:Morgan & Claypool - Abstract with links to full text Access to the electronic version is available for current IIT main & branch campus students, faculty, and staff (and may require a separate account for log-in).
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Illinois Institute of Technology

Location: Galvin Online Resource

Call Number: TK5105.884 .C274 2010eb
Online Access:Morgan & Claypool - Abstract with links to full text Access to the electronic version is available for current IIT main & branch campus students, faculty, and staff (and may require a separate account for log-in).