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Details for Learning document ranking functions usng query level measurements
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NameLearning document ranking functions usng query level measurements
DescriptionMicrosoft 2006 - A method and system for learning a ranking function that uses a normalized, query-level error function is provided. A ranking system learns a ranking function using training data that includes, for each query, the corresponding documents and, for each document, its relevance to the corresponding query. The ranking system uses an error calculation algorithm that calculates an error between the actual relevances and the calculated relevances for the documents of each query. The ranking system normalizes the errors so that the total errors for each query will be weighted equally. The ranking system then uses the normalized error to learn a ranking function that works well for both queries with many documents in their search results and queries with few documents in their search results.
FilenameLEARNING A DOCUMENT RANKING FUNCTION USING QUERY-LEVEL ERROR MEASUREMENTS.pdf
Filesize89.2 kB
Filetypepdf (Mime Type: application/pdf)
Creatordojoadmin
Created On: 02/07/2009 13:17
ViewersEverybody
Maintained bydojoadmin
Hits848 Hits
Last updated on 05/26/2009 07:31
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