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US Patent 7617199 Characterizing context-sensitive search results as non-spam

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7617199
Patent Inventor Names
Lawrence A. Birnbaum0
Sanjay Chand Sood0
Andrew Joseph Crossen0
Jerome Louis Budzik0
Kristian J. Hammond0
Date of Patent
November 10, 2009
Patent Application Number
11669826
Date Filed
January 31, 2007
Patent Citations Received
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US Patent 12118589 Controlling display layout of digital content
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US Patent 11922344 Automatic generation of narratives from data using communication goals and narrative analytics
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US Patent 11921985 Method and system for configuring automatic generation of narratives from data
0
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US Patent 11954445 Applied artificial intelligence technology for narrative generation based on explanation communication goals
0
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US Patent 11983503 Applied artificial intelligence technology for narrative generation based on a conditional outcome framework
0
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US Patent 11989519 Applied artificial intelligence technology for using natural language processing and concept expression templates to train a natural language generation system
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US Patent 11989659 Method and apparatus for triggering the automatic generation of narratives
0
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US Patent 12001807 Applied artificial intelligence technology for narrative generation using an invocable analysis service
0
...
Patent Primary Examiner
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Pierre M Vital
Patent abstract

Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user's current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user's current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user's current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user's current work context that are predictive of relevance, such as words in a user's document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user's current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

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