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US Patent 11086858 Context-based utterance prediction for assistant systems

Patent 11086858 was granted and assigned to Facebook on August, 2021 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Facebook
Facebook
Current Assignee
Facebook
Facebook
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11086858
Patent Inventor Names
Michael Robert Hanson51
Mohsen Agsen51
Emmanouil Koukoumidis51
Date of Patent
August 10, 2021
Patent Application Number
20181217
Date Filed
December 17, 2018
Patent Citations Received
‌
US Patent 12131522 Contextual auto-completion for assistant systems
1
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US Patent 12125297 Task execution based on real-world text detection for assistant systems
2
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US Patent 12124447 Data prefetching method and apparatus, electronic device, and computer-readable storage medium
3
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US Patent 12131733 Active listening for assistant systems
4
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US Patent 12131523 Multiple wake words for systems with multiple smart assistants
5
‌
US Patent 11461708 Information processing apparatus, method, and system
‌
US Patent 11231946 Personalized gesture recognition for user interaction with assistant systems
8
‌
US Patent 11544305 Intent identification for agent matching by assistant systems
9
...
Patent abstract

In one embodiment, a method includes, by one or more computing systems, receiving, from a client system associated with a user, an initial portion of a user input, wherein the initial portion comprises a partial request, and wherein the initial portion is received while the user is continuing to provide further input, generating, responsive to receiving the initial portion of the user input, one or more speculative queries based on the partial request and a machine-learning predictive model, wherein each speculative query is a predicted complete request based on the partial request, calculating a confidence score for each speculative query based on the predictive model, ranking the one or more speculative queries based on their respective confidence scores and associated costs, executing one or more of the speculative queries based on their ranks, and caching one or more results of the executed one or more speculative queries.

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