公开(公告)号：US20240273285A1

公开(公告)日：2024-08-15

申请号：US18638275

申请日：2024-04-17

Applicant: Adobe Inc.

Inventor： Anand Khanna ,  Oliver Brdiczka ,  Alexandru Vasile Costin

IPC: G06F40/186 ,  G06F40/30 ,  G06N3/08

CPC classification number: G06F40/186 ,  G06F40/30 ,  G06N3/08

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that provides to a user a subset of digital design templates as recommendations based on a creative segment classification and template classifications. For instance, in one or more embodiments, the disclosed systems generate the creative segment classification for the user and determines geo-seasonal intent data. Furthermore, the disclosed system generates template classifications using a machine learning model based on geo-seasonality and creative intent. In doing so, the disclosed system identifies a subset of digital design templates based on the template classifications, geo-seasonal intent data, and the creative segment classification of the user.

公开(公告)号：US12061916B2

公开(公告)日：2024-08-13

申请号：US17657477

申请日：2022-03-31

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Thomas Donahue ,  Neha Gautam ,  Kyoung Tak Kim ,  Jakub Plichta ,  Keenan Villani-Holland ,  Gabriel Palma Coelho ,  Chun Hao Wang ,  Allan Young

IPC: G06F9/451

CPC classification number: G06F9/451

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that recommends application features of software applications based on in-application behavior and provides the recommendations within a dynamically updating graphical user interface. For instance, in one or more embodiments, the disclosed systems utilize behavioral signals reflecting the behavior of a user with respect to one or more software applications to recommend application features of the software application(s). For instance, in some cases, the disclosed systems recommend an application feature related to recent activity user, an application feature from a curated recommendation list that has yet to be viewed, and/or an application feature determined via machine learning. In some embodiments, the disclosed systems dynamically update a graphical user interface of a client device in real time as the user utilizes the client device to access and navigate the software application(s) to display these recommendations.

公开(公告)号：US20240127577A1

公开(公告)日：2024-04-18

申请号：US17965291

申请日：2022-10-13

Applicant: Adobe Inc.

Inventor： Vlad-Constantin Lungu-Stan ,  Ionut Mironica ,  Oliver Brdiczka ,  Alexandru Vasile Costin

IPC: G06V10/74 ,  G06T11/60

CPC classification number: G06V10/761 ,  G06T11/60

Abstract: In implementations of systems for generating templates using structure-based matching, a computing device implements a template system to receive input data describing a set of digital design elements. The template system represents the input data as a sentence in a design structure language that describes structural relationships between design elements included in the set of digital design elements. An input template embedding is generated based on the sentence in the design structure language. The template system generates a digital template that includes the set of digital design elements for display in a user interface based on the input template embedding.

公开(公告)号：US11948566B2

公开(公告)日：2024-04-02

申请号：US17211392

申请日：2021-03-24

Applicant: ADOBE INC.

Inventor： Oliver Brdiczka ,  Kyoung Tak Kim ,  Charat Maheshwari

IPC: G10L15/22 ,  G06F16/242 ,  G06F16/2453 ,  G06F16/248 ,  G10L15/06 ,  G10L15/18

CPC classification number: G10L15/22 ,  G06F16/243 ,  G06F16/24539 ,  G06F16/248 ,  G10L15/063 ,  G10L15/18 ,  G10L2015/227

Abstract: The present disclosure describes systems and methods for extensible search, content, and dialog management. Embodiments of the present disclosure provide a dialog system with a trained intent recognition model (e.g., a deep learning model) to receive and understand a natural language query from a user. In cases where intent is not identified for a received query, the dialog system generates one or more candidate responses that may be refined (e.g., using human-in-the-loop curation) to generate a response. The intent recognition model may be updated (e.g., retrained) the accordingly. Upon receiving a subsequent query with similar intent, the dialog system may identify the intent using the updated intent recognition model.

公开(公告)号：US20230315491A1

公开(公告)日：2023-10-05

申请号：US17657477

申请日：2022-03-31

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Thomas Donahue ,  Neha Gautam ,  Kyoung Tak Kim ,  Jakub Plichta ,  Keenan Villani-Holland ,  Gabriel Palma Coelho ,  Chun Hao Wang ,  Allan Young

IPC: G06F9/451

CPC classification number: G06F9/451

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that recommends application features of software applications based on in-application behavior and provides the recommendations within a dynamically updating graphical user interface. For instance, in one or more embodiments, the disclosed systems utilize behavioral signals reflecting the behavior of a user with respect to one or more software applications to recommend application features of the software application(s). For instance, in some cases, the disclosed systems recommend an application feature related to recent activity user, an application feature from a curated recommendation list that has yet to be viewed, and/or an application feature determined via machine learning. In some embodiments, the disclosed systems dynamically update a graphical user interface of a client device in real time as the user utilizes the client device to access and navigate the software application(s) to display these recommendations.

公开(公告)号：US20230237251A1

公开(公告)日：2023-07-27

申请号：US17583818

申请日：2022-01-25

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Sanat Sharma ,  Jayant Kumar ,  Alexandru Vasile Costin ,  Aliakbar Darabi ,  Kushith Amerasinghe

IPC: G06F40/166 ,  G06F40/106 ,  G06V30/413 ,  G06F16/58 ,  G06F16/38

CPC classification number: G06F40/166 ,  G06F40/106 ,  G06V30/413 ,  G06F16/5866 ,  G06F16/38

Abstract: An illustrator system accesses a multi-element document, the multi-element document including a plurality of elements. The illustrator system determines, for each of the plurality of elements, an element-specific topic distribution comprising a ranked list of topics. The illustrator system creates a first aggregated topic distribution from the determined element-specific topic distributions. The illustrator system determines a global intent for the multi-element document, the global intent including one or more terms from the first aggregated topic distribution. The illustrator system queries a database using the global intent to retrieve a substitute element. The illustrator system generates a replacement multi-element document that includes a substitute element in place of an element in the multi-element document The at least one substitute element is different from the element in the displayed multi-element document.

公开(公告)号：US11615239B2

公开(公告)日：2023-03-28

申请号：US16836462

申请日：2020-03-31

Applicant: Adobe Inc.

Inventor： Oliver Brdiczka ,  Ajinkya Kale ,  Piyush Chandra ,  Tracy King ,  Abhishek Gupta ,  Sourabh Goel ,  Nitin Garg ,  Deepika Naryani ,  Feroz Ahmad ,  Vikas Sagar

IPC: G06F15/16 ,  G06F9/54 ,  H04L29/06 ,  G06F40/20 ,  G06F40/40 ,  G06F40/35 ,  H04L51/00

Abstract: The present disclosure relates to systems for identifying instances of natural language input, determining intent classifications associated with instances of natural language input, and generating responses based on the determined intent classifications. In particular, the disclosed systems intelligently identify and group instances of natural language input based on characteristics of the user input. Additionally, the disclosed systems determine intent classifications for the instances of natural language input based message queuing in order to delay responses to the user input in ways that increase accuracy of the responses, while retaining a conversational aspect of the ongoing chat. Moreover, in one or more embodiments, the disclosed systems generate responses utilizing natural language.