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...
|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.
|http://bluestem.csu.edu:2048/login?url=http://dx.doi.org/10.2200/S00235ED1V01Y201004ICR015:||Abstract with links to full text Available for Chicago State University via Morgan & Claypool. Click here to view book.|
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TK5105.884 .C274 2010eb
|http://bluestem.csu.edu:2048/login?url=http://dx.doi.org/10.2200/S00235ED1V01Y201004ICR015||Abstract with links to full text Available for Chicago State University via Morgan & Claypool. Click here to view book.|