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US Patent 11886809 Identifying templates based on fonts

Patent 11886809 was granted and assigned to Adobe Inc. on January, 2024 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Adobe Inc.
Adobe Inc.
1
Current Assignee
Adobe Inc.
Adobe Inc.
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118868091
Patent Inventor Names
Anand Khanna1
Oliver Brdiczka1
Nipun Jindal1
Date of Patent
January 30, 2024
1
Patent Application Number
179777301
Date Filed
October 31, 2022
1
Patent Citations
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US Patent 10402064 Using combined eCommerce and brick-and-mortar data to produce intelligent recommendations for web page editing
1
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US Patent 9449080 System, methods, and user interface for information searching, tagging, organization, and display
1
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US Patent 9501724 Font recognition and font similarity learning using a deep neural network
1
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US Patent 9836765 System and method for context-aware recommendation through user activity change detection
1
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US Patent 10629186 Domain and intent name feature identification and processing
1
Patent Citations Received
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US Patent 11947896 Font recommendation
2
Patent Primary Examiner
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Andrew T McIntosh
1
CPC Code
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G06F 40/109
1
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G06N 3/08
1
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G06F 40/186
1
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G06F 3/0484
1
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G06F 40/30
1
Patent abstract

In implementations of systems for identifying templates based on fonts, a computing device implements an identification system to receive input data describing a selection of a font included in a collection of fonts. The identification system generates an embedding that represents the font in a latent space using a machine learning model trained on training data to generate embeddings for digital templates in the latent space based on intent phrases associated with the digital templates and embeddings for fonts in the latent space based on intent phrases associated with the fonts. A digital template included in a collection of digital templates is identified based on the embedding that represents the font and an embedding that represents the digital template in the latent space. The identification system generates an indication of the digital template for display in a user interface.

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