Source: http://www.google.com/patents/US7840569?dq=5,892,865
Timestamp: 2016-05-01 12:14:07
Document Index: 27349660

Matched Legal Cases: ['art5', 'Application No. 200680029645', 'Application No. 200680035828', 'application No. 200680029645', 'Application No. 200510088213', 'Application No. 05105110', 'Application No. 2008', 'Application No. 2008', 'Application No. 11', 'Application No. 11', 'Application No. 11']

Patent US7840569 - Enterprise relevancy ranking using a neural network - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inPatentsA neural network is used to process a set of ranking features in order to determine the relevancy ranking for a set of documents or other items. The neural network calculates a predicted relevancy score for each document and the documents can then be ordered by that score. Alternate embodiments apply...http://www.google.com/patents/US7840569?utm_source=gb-gplus-sharePatent US7840569 - Enterprise relevancy ranking using a neural networkAdvanced Patent SearchPublication numberUS7840569 B2Publication typeGrantApplication numberUS 11/874,844Publication dateNov 23, 2010Priority dateOct 18, 2007Fee statusPaidAlso published asUS20090106223Publication number11874844, 874844, US 7840569 B2, US 7840569B2, US-B2-7840569, US7840569 B2, US7840569B2InventorsDmitriy Meyerzon, Yauhen Shnitko, Chris J. C. Burges, Michael James TaylorOriginal AssigneeMicrosoft CorporationExport CitationBiBTeX, EndNote, RefManPatent Citations (222), Non-Patent Citations (130), Referenced by (16), Classifications (9), Legal Events (3) External Links: USPTO, USPTO Assignment, EspacenetEnterprise relevancy ranking using a neural network
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