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US Patent 6980984 Content provider systems and methods using structured data

Patent 6980984 was granted and assigned to Kanisa on December, 2005 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Current Assignee
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Kanisa
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
69809840
Patent Inventor Names
David B. Kay0
Scott B. Huffman0
Date of Patent
December 27, 2005
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Patent Application Number
101508850
Date Filed
May 16, 2002
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Patent Citations Received
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US Patent 12124467 Query-based time-series data display and processing system
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US Patent 12079887 Graphical representation of a complex task
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US Patent 12093252 Retrieving context from previous sessions
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US Patent 12105719 Malicious activity detection system capable of efficiently processing data accessed from databases and generating alerts for display in interactive user interfaces
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US Patent 11861515 System and method for determining a propensity of entity to take a specified action
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US Patent 11868903 Method, system, and computer program for user-driven dynamic generation of semantic networks and media synthesis
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Patent Primary Examiner
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Jack M. Choules
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Patent abstract

This document discusses, among other things, systems, devices, and methods for implementing a content provider using at least one structured data attribute, with an integer, float, string, or date value or the like. One or more such structured data attributes is obtained from a user query, a user attribute, a user selection, a document or other content resource, or an instance within an interactive user-provider dialog. One or more such structured data attributes is auto-mapped to a set of ordered concepts in an at least partially ordered taxonomy of a knowledge map representing a multidimensional organization of such concepts. A structured data attribute and/or an ordered concept is used to control the dialog, constrain a user's search, or order and present search results, either alone, or in combination with nonstructured (e.g., textual) data and/or one or more concepts that is not ordered using a structured data parameter.

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