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US Patent 11886473 Intent identification for agent matching by assistant systems

Patent 11886473 was granted and assigned to Meta Platforms, Inc. on January, 2024 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
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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
118864730
Patent Inventor Names
Carlos Garcia Jurado Suarez0
Xiaohu Liu0
Baiyang Liu0
Benoit F. Dumoulin0
Date of Patent
January 30, 2024
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Patent Application Number
180683840
Date Filed
December 19, 2022
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Patent Citations
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US Patent 7124123 Intelligent processing in the context of away and offline instant messages
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US Patent 7158678 Text input method for personal digital assistants and the like
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US Patent 7397912 Communication system employing a personal assistant server and a personal assistant terminal
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US Patent 7406408 Method of recognizing phones in speech of any language
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US Patent 7426537 Systems and methods for sharing dynamic content among a plurality of online co-users
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US Patent 7467087 Training and using pronunciation guessers in speech recognition
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US Patent 7624007 System and method for natural language processing of sentence based queries
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US Patent 7702508 System and method for natural language processing of query answers
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Patent Primary Examiner
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Thierry L Pham
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CPC Code
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G10L 15/26
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G10L 15/1822
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G10L 15/16
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G10L 15/063
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G10L 15/22
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G10L 15/183
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G10L 15/1815
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G10L 2015/223
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Patent abstract

In one embodiment, a method includes receiving a user request from a first user at a client system, wherein the user request is associated with a semantic-intent, identifying dialog-intents associated with the user request by the client system 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 agents for executing tasks associated with the dialog-intents by the client system, and presenting information returned from the agents responsive to executing the tasks at the client system.

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