Ranking documents based on large data sets

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United States of America Patent

PATENT NO 9116976
SERIAL NO

12777939

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Abstract

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A system ranks documents based, at least in part, on a ranking model. The ranking model may be generated to predict the likelihood that a document will be selected. The system may receive a search query and identify documents relating to the search query. The system may then rank the documents based, at least in part, on the ranking model and form search results for the search query from the ranked documents.

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Patent Owner(s)

  • GOOGLE LLC

International Classification(s)

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  • [Patents Count]

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bem, Jeremy Berkeley, US 12 663
Harik, Georges R Mountain View, US 41 4165
Levenberg, Joshua L Redwood City, US 9 254
Shazeer, Noam Stanford, US 27 1121
Tong, Simon Mountain View, US 110 2867

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