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US Patent 10540374 Detecting social relationships from user activity logs

Patent 10540374 was granted and assigned to Microsoft on January, 2020 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Microsoft
Microsoft
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Current Assignee
Microsoft
Microsoft
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
105403740
Patent Inventor Names
Gilad Oren0
Jose D. Saura0
Shiv Nandan Singh0
Date of Patent
January 21, 2020
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Patent Application Number
151456960
Date Filed
May 3, 2016
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Patent Citations
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US Patent 10180992 Atomic updating of graph database index structures
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US Patent 10366168 Systems and methods for a multiple topic chat bot
Patent Citations Received
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US Patent 12079347 Systems and methods for assessing cybersecurity risk in a work from home environment
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US Patent 11782958 Multi-user cross-device tracking
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US Patent 11783052 Systems and methods for forecasting cybersecurity ratings based on event-rate scenarios
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US Patent 11882146 Information technology security assessment system
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US Patent 11949655 Systems and methods for determining asset importance in security risk management
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US Patent 11956265 Systems and methods for inferring entity relationships via network communications of users or user devices
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US Patent 12010137 Information technology security assessment system
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US Patent 11032244 Systems and methods for determining asset importance in security risk management
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Patent Primary Examiner
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Kim T Nguyen
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Patent abstract

Social relationships are detected between a plurality of users. A set of user activity logs is input, where these logs originate from one or more network services and cover a prescribed period of time. Each of the logs originates from a particular one of the services and includes a structured data stream that records each interaction that each of one or more of the users has with the particular one of the services. This structured data stream includes a timestamp specifying when this interaction occurred, and a public network identifier specifying a network address from which this interaction occurred. The set of user activity logs is then analyzed to detect a prescribed kind of social relationship between the users. A data structure is then generated that identifies the users between whom the prescribed kind of social relationship is detected, and the data structure is output.

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