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US Patent 9323806 Clustering query refinements by inferred user intent

Patent 9323806 was granted and assigned to Google on April, 2016 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9323806
Date of Patent
April 26, 2016
Patent Application Number
13854275
Date Filed
April 1, 2013
Patent Citations Received
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US Patent 12130878 Deduplication of monitored communications data in a cloud environment
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US Patent 12120140 Detecting threats against computing resources based on user behavior changes
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US Patent 12126643 Leveraging generative artificial intelligence (‘AI’) for securing a monitored deployment
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US Patent 12126695 Enhancing security of a cloud deployment based on learnings from other cloud deployments
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US Patent 11677772 Using graph-based models to identify anomalies in a network environment
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US Patent 11689553 User session-based generation of logical graphs and detection of anomalies
0
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US Patent 11770464 Monitoring communications in a containerized environment
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US Patent 11792284 Using data transformations for monitoring a cloud compute environment
...
Patent Primary Examiner
‌
Usmaan Saeed
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for clustering query refinements. One method includes building a representation of a graph for a first query, wherein the graph has a node for the first query, a node for each of a plurality of refinements for the first query, and a node for each document in the document sets of the refinements, and wherein the graph has edges from the first query node to each of the refinement nodes, edges from the first query to each document in the respective document set of the first query, edges from each refinement to each document in the respective document set of the refinement, and edges from each refinement to each co-occurring query of the refinement. The method further includes clustering the refinements into refinement clusters by partitioning the refinement nodes in the graph into proper subsets.

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