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Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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23-11-2010 дата публикации

Document scoring based on document inception date

Номер: US0007840572B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

A system may determine a document inception date associated with a document, generate a score for the document based, at least in part, on the document inception date, and rank the document with regard to at least one other document based, at least in part, on the score.

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21-07-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0028756031B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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13-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0028624626B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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03-09-2013 дата публикации

Document scoring based on document content update

Номер: US0008527524B2

A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.

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03-04-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0020061863B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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31-07-2012 дата публикации

Document scoring based on document content update

Номер: US0008234273B2

A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.

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14-03-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0017449718B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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08-08-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0025751854B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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14-02-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021721323B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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19-01-2012 дата публикации

DOCUMENT SCORING BASED ON QUERY ANALYSIS

Номер: US20120016888A1
Принадлежит: GOOGLE INC.

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score. 1. A method performed by one or more devices , the method comprising:determining, by at least one of the one or more devices, an amount of time one or more users spent accessing a document;generating, by at least one of the one or more devices, a score for the document based on the amount of time that the one or more users spent accessing the document; andranking, by at least one of the one or more devices, the document with regard to at least one other document based on the generated score.2. The method of claim 1 , further comprising:determining a quantity of times that the document is selected out of a plurality of documents, andwhere generating the score includes generating the score further based on the determined quantity of times that the document is selected out of the plurality of documents.3. The method of claim 1 , further comprising:comparing a first average amount of time that users spent accessing the document, during a particular time period, to a second average amount of time that users spent accessing the document, during a different time period that is before the particular time period;classifying the document as stale when the first amount of time is less than the second amount of time; andadjusting the score for the document upon classifying the document as stale.4. The method of claim 3 , further comprising:lowering a ranking of the document, with regard to the at least one other document, based on adjusting the score for the document.5. The method of claim 1 , further comprising:comparing a first average amount of time that users spent accessing the document, ...

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21-11-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029317374B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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03-05-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029814554B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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02-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0020626900B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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02-12-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029854673B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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15-04-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021208065B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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19-04-2007 дата публикации

DOCUMENT SCORING BASED ON QUERY ANALYSIS

Номер: US20070088692A1
Принадлежит: GOOGLE INC.

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

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13-05-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021813909B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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18-03-2008 дата публикации

Information retrieval based on historical data

Номер: US0007346839B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

A system identifies a document and obtains one or more types of history data associated with the document. The system may generate a score for the document based, at least in part, on the one or more types of history data.

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08-02-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0026102447B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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25-03-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0025096779B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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08-04-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0022177507B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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01-09-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0022988763B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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11-12-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0026690126B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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05-09-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0028899358B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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03-03-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0025538547B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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19-08-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0026327214B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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16-03-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021266054B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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26-04-2007 дата публикации

DOCUMENT SCORING BASED ON DOCUMENT INCEPTION DATE

Номер: US20070094254A1
Принадлежит: GOOGLE INC.

A system may determine a document inception date associated with a document, generate a score for the document based, at least in part, on the document inception date, and rank the document with regard to at least one other document based, at least in part, on the score.

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16-01-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021610497B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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12-07-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021545949B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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15-11-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023666627B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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14-02-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0022230522B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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14-12-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023298925B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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09-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023304395B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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11-09-2012 дата публикации

Document scoring based on query analysis

Номер: US0008266143B2

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

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22-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0020400824B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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18-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0022504756B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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17-07-2012 дата публикации

Document ranking based on document classification

Номер: US0008224827B2

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

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19-01-2012 дата публикации

DOCUMENT SCORING BASED ON QUERY ANALYSIS

Номер: US20120016889A1
Принадлежит: GOOGLE INC.

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score. 1. A method performed by one or more devices , the method comprising:analyzing, by at least one of the one or more devices, trends relating to at least one of search queries or search results that are responsive to search queries, to determine a set of search terms relating to one or more particular topics;receiving, by at least one of the one or more devices and in response to the search query, information associated with a first document that is associated with the set of search terms and information associated with a second document that is not associated with the set of search terms;generating, by at least one of the one or more devices, a first score for the first document and a second score for the second document, where the first score is higher than the second score;ranking, by at least one of the one or more devices, the first document with regard to the second document based on the first score; andproviding, by at least one of the one or more devices and in response to a search query, a search result document that includes an ordered list that includes information identifying the first document and information identifying the second document, where an ordering of the ordered list is based on the ranking.2. The method of claim 1 , where determining the set of search terms relating to the one or more particular topics includes:determining a group of search terms that increasingly appear in search queries over time, andidentifying the group of search terms as the set of terms relating to the one or more particular topics.3. The method of claim 1 , where determining the set ...

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03-05-2007 дата публикации

DOCUMENT SCORING BASED ON DOCUMENT CONTENT UPDATE

Номер: US20070100817A1
Принадлежит: GOOGLE INC.

A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.

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22-02-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0027837689B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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11-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029438424B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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07-02-2012 дата публикации

Document scoring based on document content update

Номер: US0008112426B2

A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.

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07-02-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021317270B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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14-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029781580B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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04-11-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029501651B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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03-08-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0020115074B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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23-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0027528275B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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27-08-2013 дата публикации

Document scoring based on document inception date

Номер: US0008521749B2

A system may determine a document inception date associated with a document, generate a score for the document based, at least in part, on the document inception date, and rank the document with regard to at least one other document based, at least in part, on the score.

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01-10-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023973201B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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12-12-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0024134721B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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14-01-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0027203946B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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31-03-2005 дата публикации

Information retrieval based on historical data

Номер: US20050071741A1
Принадлежит: Google LLC

A system identifies a document and obtains one or more types of history data associated with the document. The system may generate a score for the document based, at least in part, on the one or more types of history data.

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09-11-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0026443752B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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10-07-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023143620B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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18-12-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029727296B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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23-12-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0026174408B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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07-07-2005 дата публикации

Systems and methods for improving search quality

Номер: US20050149499A1
Принадлежит: Google Inc., A DELAWARE CORPORATION

Systems and methods are disclosed for improving search quality. Search queries are expanded using a variety of linguistic techniques. For example, the words in a query can be supplemented with related words obtained from a database of compound words, inflectional forms, and/or orthographic variations. The expanded queries can be used to perform searches for responsive documents. A document index can be expanded using similar techniques.

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11-01-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0022070689B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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05-04-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0028309868B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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13-03-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021373493B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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27-11-2007 дата публикации

Methods and systems for identifying manipulated articles

Номер: US0007302645B1
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

Systems and methods that identify manipulated articles are described. In one embodiment, a search engine implements a method comprising determining at least one cluster comprising a plurality of articles, analyzing signals to determine an overall signal for the cluster, and determining if the articles are manipulated articles based at least in part on the overall signal.

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24-12-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023686700B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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20-12-2011 дата публикации

Systems and methods for determining document freshness

Номер: US0008082244B2
Принадлежит: Google Inc., HENZINGER MONIKA, GOOGLE INC, GOOGLE INC.

A system determines a freshness of a first document. The system determines whether a freshness attribute is associated with the first document. The system identifies, based on the determination, a set of second documents that each contain a link to the first document. The system assigns a freshness score to the first document based on a freshness attribute associated with each document of the set of second documents or the freshness attribute associated with the first document.

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26-05-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0021096106B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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08-02-2011 дата публикации

Identification of web sites that contain session identifiers

Номер: US0007886217B1
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

Web sites are analyzed to determine whether the web sites are embedding session identifiers in web documents. The analysis is based on a comparison of in-host links of multiple copies of a document from a web site. Rules governing the insertion of session identifiers for the web site may be determined and used to assist in crawling the web site.

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01-09-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023659732B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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22-05-2012 дата публикации

Document scoring based on query analysis

Номер: US0008185522B2

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

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19-01-2012 дата публикации

DOCUMENT SCORING BASED ON QUERY ANALYSIS

Номер: US20120016874A1
Принадлежит: GOOGLE INC.

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

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26-03-2013 дата публикации

Document scoring based on link-based criteria

Номер: US0008407231B2

A method may include receiving a document and an initial score for the document; determining that there has been a decrease in a rate or quantity of new links that point to the document over time; classifying the document as stale in response to the determining; decreasing the initial score for the document, resulting in an updated score; and ranking the document with regard to at least one other document based, at least in part, on the score.

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19-04-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023669903B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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13-09-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0027747566B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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25-04-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0029347842B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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05-01-2012 дата публикации

DOCUMENT SCORING BASED ON DOCUMENT CONTENT UPDATE

Номер: US20120005199A1
Принадлежит: GOOGLE INC.

A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.

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27-10-2011 дата публикации

DOCUMENT SCORING BASED ON DOCUMENT CONTENT UPDATE

Номер: US20110264671A1
Принадлежит: GOOGLE INC.

A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.

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15-07-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0023730519B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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02-05-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0026224453B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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14-08-2012 дата публикации

Document scoring based on query analysis

Номер: US0008244723B2

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

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11-06-2010 дата публикации

Dосumеnt sсоring bаsеd оn dосumеnt inсеptiоn dаtе

Номер: US0028423098B2
Принадлежит: Google Inc., GOOGLE INC, GOOGLE INC.

А sуstеm mау dеtеrminе а dосumеnt inсеptiоn dаtе аssосiаtеd with а dосumеnt, gеnеrаtе а sсоrе fоr thе dосumеnt bаsеd, аt lеаst in pаrt, оn thе dосumеnt inсеptiоn dаtе, аnd rаnk thе dосumеnt with rеgаrd tо аt lеаst оnе оthеr dосumеnt bаsеd, аt lеаst in pаrt, оn thе sсоrе.

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19-01-2012 дата публикации

Document scoring based on query analysis

Номер: US20120016870A1
Принадлежит: Google LLC

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

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26-01-2012 дата публикации

DOCUMENT SCORING BASED ON QUERY ANALYSIS

Номер: US20120023098A1
Принадлежит: GOOGLE INC.

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score. 1. A method , comprising:determining, by one or more server devices, an amount or rate that a document moves positions in search result rankings over time;generating, by at least one of the one or more server devices, a score for the document based on the amount or rate that the document moves in the search result rankings over time; andranking, by at least one of the one or more server devices, the document against at least one other document based on the score.2. The method of claim 1 , where determining the amount or rate that the document moves in search result rankings includes:determining a number of positions that the document moves in the search result rankings, and 'generating the score based on the determined number of positions that the document moves in the search result rankings.', 'where generating the score for the document includes3. The method of claim 1 , where determining the amount or rate that the document moves in search result rankings includes:determining a rate at which the document moves positions in the search result rankings, and 'generating the score based on the determined rate at which the document moves positions in the search result rankings.', 'where generating the score for the document includes4. The method of claim 1 , further comprising:submitting a query multiple times over a particular period of time; andreceiving information regarding sets of documents in response to the submitting,where at least two of the sets of documents include the document, and 'determining an amount or rate that the document moves within search result rankings of the ...

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29-03-2012 дата публикации

DETECTING DUPLICATE AND NEAR-DUPLICATE FILES

Номер: US20120078871A1
Принадлежит:

Improved duplicate and near-duplicate detection techniques may assign a number of fingerprints to a given document by (i) extracting parts from the document, (ii) assigning the extracted parts to one or more of a predetermined number of lists, and (iii) generating a fingerprint from each of the populated lists. Two documents may be considered to be near-duplicates if any one of their fingerprints match. 1. A method for filtering a plurality of candidate search results to remove near-duplicates , the method comprising: 1) determining that a cluster identifier of the one candidate search result matches a cluster identifier of the other candidate search result; and', '2) in response to determining that a cluster identifier of the one candidate search result matches a cluster identifier of the other candidate search result, concluding that the one candidate search is a near-duplicate of the other candidate search result; and, 'a) for one or more of the plurality of candidate search results, determining that one candidate search result of the one or more candidate search results is a near-duplicate of another of the plurality of candidate search results by'}b) in response to the determination that the one candidate search result is a near-duplicate of the other candidate search result, rejecting the one candidate search result thereby defining a filtered set of search results including only those of the plurality of candidate search results that have not been rejected.2. The method of claim 1 , wherein determining that the one candidate search result is a near-duplicate of another of the plurality of candidate search results is preceded by:determining that the one candidate search result is a near-duplicate of a previously processed search result; andassociating the one candidate search result with a cluster identifier of the previously processed search result.3. The method of claim 2 , wherein associating the one candidate search result with the cluster identifier of ...

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12-04-2012 дата публикации

SYSTEMS AND METHODS FOR DETERMINING DOCUMENT FRESHNESS

Номер: US20120089619A1
Автор: HENZINGER Monika
Принадлежит: GOOGLE INC.

A system determines a freshness of a first document. The system determines whether a freshness attribute is associated with the first document. The system identifies, based on the determination, a set of second documents that each contain a link to the first document. The system assigns a freshness score to the first document based on a freshness attribute associated with each document of the set of second documents or the freshness attribute associated with the first document. 135-. (canceled)36. A method comprising:identifying, by one or more processors, a set of second documents, each second document, in the set of second documents, including a link to a first document;determining, by one or more processors, a time at which the links to the first document existed;assigning, by one or more processors, a freshness score to the first document based on the times at which the links to the first document existed; andranking, by one or more processors, the first document, with respect to at least one other document, based on the freshness score assigned to the first document.37. The method of claim 36 , where determining the time at which the links to the first document existed includes:determining times at which the links to the first document were created.38. The method of claim 36 , where identifying the set of second documents includes:identifying, as the set of second documents, second documents that include, or previously included, a link to the first document.39. The method of claim 38 , where determining a time at which the links to the first document existed includes:determining, for each of the second documents that include a link to the first document, a time at which the link to the first document was created; anddetermining, for each of the second documents that previously included a link to the first document, the time at which the link to the first document was created and a time at which the link to the first document was removed.40. The method of claim ...

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06-09-2012 дата публикации

METHODS AND APPARATUS FOR EMPLOYING USAGE STATISTICS IN DOCUMENT RETRIEVAL

Номер: US20120226705A1
Принадлежит: GOOGLE INC.

Methods and apparatus consistent with the invention provide improved organization of documents responsive to a search query. In one embodiment, a search query is received and a list of responsive documents is identified. The responsive documents are organized based in whole or in part on usage statistics. 1. A computer-implemented method , comprising:receiving, by a computer, data identifying a plurality of documents determined to be responsive to a search query, the data including a first score for each document that is based on one or more of link information and query information, the link information describing a link relationship between the document and other documents, and the query information describing the relevance of document to the query;accessing, by the computer, usage information associated with the plurality of documents, the usage information including, for each document, a frequency of visit value based on a number of times the document was visited during a time period and a separate visit value based on a number of separate visitors to the document;determining, by the computer, for each document, a usage score from the frequency of visit value and the separate visit value associated with the document; anddetermining, by the computer and for each document, a total score for the document that is based on the usage score for the document and the first score for each document; anddetermining, by the computer, an organization for the documents based on the total scores for the documents.2. The computer-implemented method of claim 1 , further comprising:determining, by the computer, for each document, a path length score from a path of the document;wherein determining the usage score from the frequency of visit value and the separate visit value associated with the document comprises determining the usage score from the frequency of visit value and the separate visit value associated with the document and the path length score of the document.3. The ...

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11-05-2010 дата публикации

Document ranking based on semantic distance between terms in a document

Номер: US7716216B1
Принадлежит: Google LLC

Techniques are disclosed that locate implicitly defined semantic structures in a document, such as, for example, implicitly defined lists in an HTML document. The semantic structures can be used in the calculation of distance values between terms in the documents. The distance values may be used, for example, in the generation of ranking scores that indicate a relevance level of the document to a search query.

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05-09-2002 дата публикации

Methods and apparatus for employing usage statistics in document retrieval

Номер: US20020123988A1
Принадлежит: Google LLC

Methods and apparatus consistent with the invention provide improved organization of documents responsive to a search query. In one embodiment, a search query is received and a list of responsive documents is identified. The responsive documents are organized based in whole or in part on usage statistics.

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03-02-2011 дата публикации

Document scoring based on document inception date

Номер: US20110029542A1
Принадлежит: Google LLC

A system may determine a document inception date associated with a document, generate a score for the document based, at least in part, on the document inception date, and rank the document with regard to at least one other document based, at least in part, on the score.

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18-08-1998 дата публикации

High frequency sampling of processor performance counters

Номер: US5796939A
Принадлежит: Digital Equipment Corp

In a computer system, an apparatus is configured to collect performance data of a computer system including a plurality of processors for concurrently executing instructions of a program. A plurality of performance counters are coupled to each processor. The performance counters store performance data generated by each processor while executing the instructions. An interrupt handler executes on each processors, the interrupt handler samples the performance data of the processor in response to interrupts. A first memory includes a hash table associated with each interrupt handler, the hash table stores the performance data sampled by the interrupt handler executing on the processor. A second memory includes an overflow buffer, the overflow buffer stores the performance data while portions of the hash tables are active or full. A third memory includes a user buffer, and means are provided for periodically flushing the performance data from the hash tables and the overflow to the user buffer.

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02-12-2003 дата публикации

Detecting duplicate and near-duplicate files

Номер: US6658423B1
Принадлежит: Google LLC

Improved duplicate and near-duplicate detection techniques may assign a number of fingerprints to a given document by (i) extracting parts from the document, (ii) assigning the extracted parts to one or more of a predetermined number of lists, and (iii) generating a fingerprint from each of the populated lists. Two documents may be considered to be near-duplicates if any one of their fingerprints match.

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14-02-2008 дата публикации

Detecting duplicate and near-duplicate files

Номер: CA2660202A1
Автор: Monika H. Henzinger
Принадлежит: GOOGLE, INC., Monika H. Henzinger

Near duplicate documents may be identified by processing an accepted set of documents to determine a first set of near duplicate documents using a first technique, and processing the first set to determine a second set of near duplicate documents using a second technique. The first technique might be token order dependent, and the second technique might be order independent. The first technique might be token frequency independent, and the second technique might be frequency dependent. The first technique might determine whether two documents are near duplicates using representations based on a subset of the words or tokens of the documents, and the second technique might determine whether two documents are near duplicates using representations based on all of the words or tokens of the documents. The first technique might use set intersection to determine whether or not documents are near duplicates, and the second technique might use random projections to determine whether or not documents are near duplicates.

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26-04-2011 дата публикации

Ranking video articles

Номер: US7933338B1
Принадлежит: Google LLC

An information retrieval system is provided for processing queries for video content. A server receives a query for video content and returns video articles, as received from broadcast systems or other content providers. Queries are formulated using text, video images, and/or visual content associated with a video article. Various video-oriented characteristics associated with the results of the queries are determined and a rank score is calculated for each. The ranked video articles are displayed in a representation to the user, from which the user can play the video article either within the representation or independent of it.

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01-04-2014 дата публикации

Hypertext browser assistant

Номер: US8688687B1
Принадлежит: Google LLC

A system facilitates a search by a user. The system detects selection of one or more words in a document currently accessed by the user, generates a search query using the selected word(s), and retrieves a document based on the search query. When the document includes one or more links corresponding to a linked document, the system analyzes each of the links, prefetches the linked documents corresponding to a number of the links, and presents the document to the user. The system receives selection of one of the links and retrieves the linked document corresponding to the selected link. The system identifies one or more pieces of information in the retrieved document, determines a link to a related document for each of the identified pieces of information, and provides the determined links with the related document to the user.

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30-06-2005 дата публикации

Systems and methods for determining document freshness

Номер: US20050144193A1
Автор: Monika Henzinger
Принадлежит: Google LLC

A system determines a freshness of a first document. The system determines whether a freshness attribute is associated with the first document. The system identifies, based on the determination, a set of second documents that each contain a link to the first document. The system assigns a freshness score to the first document based on a freshness attribute associated with each document of the set of second documents or the freshness attribute associated with the first document.

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15-07-2003 дата публикации

System and method for near-uniform sampling of web page addresses

Номер: US6594694B1
Принадлежит: Hewlett Packard Development Co LP

A system generates a list of near-uniform samples of data sets (e.g., web pages) from among a plurality of host computers. The system performs a random walk so as to generate a set of visited addresses. For each address in the set, a reachability measure is computed. Then, samples are selected from the set, such that the probability of selecting a given address is inversely proportional to the reachability measure for the address. The selected samples form the list of near-uniform samples.

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14-09-2010 дата публикации

Systems and methods for determining document freshness

Номер: US7797316B2
Автор: Monika Henzinger
Принадлежит: Google LLC

A system determines a freshness of a first document. The system determines whether a freshness attribute is associated with the first document. The system identifies, based on the determination, a set of second documents that each contain a link to the first document. The system assigns a freshness score to the first document based on a freshness attribute associated with each document of the set of second documents or the freshness attribute associated with the first document.

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18-04-2007 дата публикации

Document scoring based on link-based criteria

Номер: EP1775665A2
Принадлежит: Google LLC

A system (125) identifies a document and obtains one or more types of history data associated with the document. The system (125) may generate a score for the document based, at least in part, on the one or more types of history data.

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01-03-2016 дата публикации

Detecting duplicate and near-duplicate files

Номер: US9275143B2
Принадлежит: Google LLC

Improved duplicate and near-duplicate detection techniques may assign a number of fingerprints to a given document by (i) extracting parts from the document, (ii) assigning the extracted parts to one or more of a predetermined number of lists, and (iii) generating a fingerprint from each of the populated lists. Two documents may be considered to be near-duplicates if any one of their fingerprints match.

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22-11-2011 дата публикации

Systems and methods for determining a quality of provided items

Номер: US8065296B1
Принадлежит: Google LLC

A system may provide items during a time period and determine a quality of the items provided during the time period using a time series model.

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04-09-2001 дата публикации

Method and apparatus for finding mirrored hosts by analyzing urls

Номер: US6286006B1
Принадлежит: AltaVista Co

A method and apparatus that detects mirrored host pairs using information about a large set of pages, including URLs. The identities of the detected mirrored hosts are then saved so that browsers, crawlers, proxy servers, or the like can correctly identify mirrored web sites. The described embodiments of the present invention look at the URLs of pages hosts to determine whether the hosts are potentially mirrored.

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14-04-2005 дата публикации

Information retrieval based on historical data

Номер: CA2540573A1

A system (125) identifies a document and obtains one or more types of history data associated with the document. The system (125) may generate a score for the document based, at least in part, on the one or more types of history data.

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27-05-2015 дата публикации

Information retrieval based on historical data

Номер: EP2416263A3
Принадлежит: Google LLC

A system (125) identifies a document and obtains one or more types of history data associated with the document. The system (125) may generate a score for the document based, at least in part, on the one or more types of history data.

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19-02-2013 дата публикации

Voice interface for a search engine

Номер: US8380502B1
Принадлежит: Google LLC

A system receives a voice search query from a user, derives recognition hypotheses from the voice search query, and determines scores associated with the recognition hypotheses, the scores being based on a comparison of the recognition hypotheses to previously received search queries. The system discards at least one of the recognition hypotheses that is associated with a first score that is less than a threshold value, and constructs a first query using at least one non-discarded recognition hypothesis, where the at least one first non-discarded recognition hypothesis is associated with a second score that at least meets the threshold value. The system forwards the first query to a search system, receives first results associated with the first query, and provides the first results to the user.

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14-06-2006 дата публикации

Information retrieval based on historical data

Номер: EP1668551A1
Принадлежит: Google LLC

A system (125) identifies a document and obtains one or more types of history data associated with the document. The system (125) may generate a score for the document based, at least in part, on the one or more types of history data.

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21-10-2014 дата публикации

In-context searching

Номер: US8868549B1
Принадлежит: Google LLC

A system limits search results based on context information. The system obtains the context information and a search query, and obtains a set of references to documents in response to the search query. The system then filters the set of references based on the context information and presents the filtered set of references to a user.

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14-04-2005 дата публикации

Information retrieval based on historical data

Номер: CA2757550A1
Принадлежит: Google LLC

A system (125) identifies a document and obtains one or more types of history data associated with the document. The system (125) may generate a score for the document based, at least in part, on the one or more types of history data.

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10-11-2021 дата публикации

Weighted infection alert system between portable devices

Номер: EP3907741A1
Принадлежит: Universitaet Wien

The present invention provides a computer-implemented method for determining the likelihood of infection of a user of a portable electronic device by enabling assigning to each user (of a portable electronic device with an infection tracking app) a value corresponding to an infection risk score wherein, the higher the score, the higher the risk of infection, wherein a recursive ranking procedure is performed by the portable device of the user and/or a server communicating with the portable device of the user, in which a change in the score of a user means that the scores of their "contacts" can proportionally change as well, which in turn can change the values of the "contacts" of the "contacts" of the user.

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25-09-1998 дата публикации

コンピュータ性能データを分析する方法

Номер: JPH10254739A
Принадлежит: Digital Equipment Corp

(57)【要約】 【課題】 コンピュータシステムがプログラムの命令を 実行する間に収集された性能データを分析するためのコ ンピュータ化された方法を提供する。 【解決手段】 プログラムを実行する間に性能データが 収集される。性能データは、実行された命令のサンプル カウントを含む。プログラムを分析し、命令のクラスが 決定される。同じ等価クラスの命令は、全て、同じ回数 だけ実行される。各等価クラスの各命令の実行頻度が推 定される。この推定された実行頻度を使用して、各等価 クラスの各命令を発生するのに必要な平均サイクル数を 得る。この平均サイクル数を最小サイクル数と比較し、 命令により被った動的なストールサイクルの数を決定す る。更に、動的なストールサイクルの理由を推論する。

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16-11-2000 дата публикации

Method and apparatus for finding mirrored hosts

Номер: WO2000069142A2
Принадлежит: Alta Vista

A method and system that detects mirrored host pairs using information about a large set of pages, including one or more of: URLs, IP addresses, and connectivity information. The identities of the detected mirrored hosts are then saved so that browsers, crawlers, proxy servers, or the like can correctly identify mirrored web sites. The described embodiments of the present invention use one or a combination of techniques to identify mirrors. A first group of techniques involves determining mirrors based on URLs and information about connectivity (i.e., hyperlinks) between pages. A second group of techniques looks at connectivity information at a higher granularity, considering all links from all pages on a host as one group and ignoring the target of each link beyond the host level.

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22-03-2001 дата публикации

Method and apparatus for finding mirrored hosts

Номер: WO2000069142A3
Принадлежит: Alta Vista

A method and system that detects mirrored host pairs using information about a large set of pages, including one or more of: URLs, IP addresses, and connectivity information. The identities of the detected mirrored hosts are then saved so that browsers, crawlers, proxy servers, or the like can correctly identify mirrored web sites. The described embodiments of the present invention use one or a combination of techniques to identify mirrors. A first group of techniques involves determining mirrors based on URLs and information about connectivity (i.e., hyperlinks) between pages. A second group of techniques looks at connectivity information at a higher granularity, considering all links from all pages on a host as one group and ignoring the target of each link beyond the host level.

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27-09-2006 дата публикации

Systems and methods for improving search quality

Номер: EP1704495A2
Принадлежит: Google LLC

Systems and methods are disclosed for improving search quality. Search queries are expanded using a variety of linguistic techniques. For example, the words in a query can be supplemented with related words obtained from a database of compound words, inflectional forms, and/or orthographic variations. The expanded queries can be used to perform searches for responsive documents. A document index can be expanded using similar techniques.

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21-07-2005 дата публикации

Systems and methods for improving search quality

Номер: WO2005066847A2
Принадлежит: GOOGLE INC.

Systems and methods are disclosed for improving search quality. Search queries are expanded using a variety of linguistic techniques. For example, the words in a query can be supplemented with related words obtained from a database of compound words, inflectional forms, and/or orthographic variations. The expanded queries can be used to perform searches for responsive documents. A document index can be expanded using similar techniques.

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06-02-2002 дата публикации

Method and apparatus for finding mirrored hosts

Номер: EP1177513A2
Принадлежит: AltaVista Co

A method and system that detects mirrored host pairs using information about a large set of pages, including one or more of: URLs, IP addresses, and connectivity information. The identities of the detected mirrored hosts are then saved so that browsers, crawlers, proxy servers, or the like can correctly identify mirrored web sites. The described embodiments of the present invention use one or a combination of techniques to identify mirrors. A first group of techniques involves determining mirrors based on URLs and information about connectivity (i.e., hyperlinks) between pages. A second group of techniques looks at connectivity information at a higher granularity, considering all links from all pages on a host as one group and ignoring the target of each link beyond the host level.

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16-11-2000 дата публикации

Method and apparatus for finding mirrored hosts by analyzing urls

Номер: WO2000068838A2
Принадлежит: Alta Vista

A method and apparatus that detects mirrored host pairs using information about a large set of pages, including URLs. The identities of the detected mirrored hosts are then saved so that browsers, crawlers, proxy servers, or the like can correctly identify mirrored web sites. The described embodiments of the present invention look at the URLs of pages hosts to determine whether the hosts are potentially mirrored.

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29-05-2002 дата публикации

Method and apparatus for finding mirrored hosts by analyzing urls

Номер: EP1208467A2
Принадлежит: AltaVista Co

A method and apparatus that detects mirrored host pairs using information about a large set of pages, including URLs. The identities of the detected mirrored hosts are then saved so that browsers, crawlers, proxy servers, or the like can correctly identify mirrored web sites. The described embodiments of the present invention look at the URLs of pages hosts to determine whether the hosts are potentially mirrored.

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30-05-2017 дата публикации

In-context searching

Номер: US09665650B1
Принадлежит: Google LLC

A system limits search results based on context information. The system obtains the context information and a search query, and obtains a set of references to documents in response to the search query. The system then filters the set of references based on the context information and presents the filtered set of references to a user.

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