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US Patent 11544305 Intent identification for agent matching by assistant systems

Patent 11544305 was granted and assigned to Meta Platforms, Inc. on January, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Meta Platforms, Inc.
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Current Assignee
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Meta Platforms, Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115443050
Patent Inventor Names
Carlos Garcia Jurado Suarez0
Xiaohu Liu0
Baiyang Liu0
Benoit F. Dumoulin0
Date of Patent
January 3, 2023
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Patent Application Number
169870430
Date Filed
August 6, 2020
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Patent Citations
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US Patent 10354307 Method, device, and system for obtaining information based on audio input
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US Patent 10387464 Predicting labels using a deep-learning model
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US Patent 10409818 Populating streams of content
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US Patent 10418032 System and methods for a virtual assistant to manage and use context in a natural language dialog
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US Patent 10462422 Audio selection based on user engagement
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US Patent 10467282 Suggesting tags on online social networks
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US Patent 10482182 Natural language understanding system and dialogue systems
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US Patent 10504513 Natural language understanding with affiliated devices
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Patent Primary Examiner
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Thierry L Pham
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CPC Code
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H04L 67/10
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H04L 67/20
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H04L 51/20
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H04L 51/32
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H04W 12/08
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H04L 51/16
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G06F 9/453
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G06F 3/011
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In one embodiment, a method includes receiving a user request from a client system associated with a first user, wherein the user request is associated with a semantic-intent, identifying one or more dialog-intents associated with the user request based on the semantic-intent and context information associated with the user request, wherein each dialog-intent is a sub-intent of the semantic-intent, determining one or more agents for executing one or more tasks associated with the one or more dialog-intents, and sending instructions for presenting information returned from the one or more agents responsive to executing the one or more tasks to the client system.

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