公开(公告)号：US20240320714A1

公开(公告)日：2024-09-26

申请号：US18477735

申请日：2023-09-29

Applicant: ADOBE INC.

Inventor： Rebecca Dorothy West ,  Lauren Dest ,  Mihir Naware ,  Elliot Axel Patrick Puzenat ,  Stephen Becigneul ,  Alexis Tessier ,  Roger K. Brooks ,  Suman Basetty ,  Kimberly K. Lenox ,  Anil Kamath

IPC: G06Q30/0241 ,  G06F40/40 ,  G06Q30/0204

CPC classification number: G06Q30/0276 ,  G06F40/40 ,  G06Q30/0204

Abstract: A method, non-transitory computer readable medium, apparatus, and system for contextual content generation are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a content provider context for the user experience platform. The content provider context includes profile information for a content provider and an interaction history of the content provider. The user experience platform obtains a prompt based on the content provider context. Embodiments of the present disclosure further include generating content for a project within the user experience platform based on the prompt using a machine learning model.

公开(公告)号：US20230418868A1

公开(公告)日：2023-12-28

申请号：US17808599

申请日：2022-06-24

Applicant: ADOBE INC.

Inventor： Yeon Seonwoo ,  Seunghyun Yoon ,  Trung Huu Bui ,  Franck Dernoncourt ,  Roger K. Brooks ,  Mihir Naware

IPC: G06F16/901 ,  G06F16/903 ,  G06F16/9038 ,  G06F16/93

CPC classification number: G06F16/9024 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/93

Abstract: Systems and methods for text processing are described. Embodiments of the present disclosure receive a query comprising a natural language expression; extract a plurality of mentions from the query; generate a relation vector between a pair of the plurality of mentions using a relation encoder network, wherein the relation encoder network is trained using a contrastive learning process where mention pairs from a same document are labeled as positive samples and mention pairs from different documents are labeled as negative samples; combine the plurality of mentions with the relation vector to obtain a virtual knowledge graph of the query; identify a document corresponding to the query by comparing the virtual knowledge graph of the query to a virtual knowledge graph of the document; and transmit a response to the query, wherein the response includes a reference to the document.

公开(公告)号：US20250068800A1

公开(公告)日：2025-02-27

申请号：US18455005

申请日：2023-08-24

Applicant: ADOBE INC.

Inventor： Lei Zhang ,  Jun He ,  Zhenyu Yan ,  Roger K. Brooks

IPC: G06F30/27

Abstract: Systems and methods for pre-deployment user journey evaluation are described. Embodiments are configured to obtain a user journey including a plurality of touchpoints; generate a simulation agent including a plurality of attributes; generate a probability score for the simulation agent for each of the plurality of touchpoints based on the plurality of attributes using a machine learning model; perform a simulation of the user journey based on the probability score; and generate a text describing the user journey based on the simulation.

公开(公告)号：US20240320705A1

公开(公告)日：2024-09-26

申请号：US18477772

申请日：2023-09-29

Applicant: ADOBE INC.

Inventor： Rebecca Dorothy West ,  Lauren Dest ,  Mihir Naware ,  Elliot Axel Patrick Puzenat ,  Stephen Becigneul ,  Alexis Tessier ,  Roger K. Brooks ,  Suman Basetty ,  Kimberly K. Lenox ,  Anil Kamath

IPC: G06Q30/0242 ,  G06Q30/0241

CPC classification number: G06Q30/0244 ,  G06Q30/0277

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content generation are described. An embodiment of the present disclosure includes identifying, by a user experience platform, a content distribution campaign. The user experience platform obtains feedback for the content distribution campaign. Embodiments of the present disclosure further include generating content for a modified content distribution campaign based on the feedback using a machine learning model.

公开(公告)号：US20240320018A1

公开(公告)日：2024-09-26

申请号：US18477804

申请日：2023-09-29

Applicant: ADOBE INC.

Inventor： Rebecca Dorothy West ,  Lauren Dest ,  Mihir Naware ,  Elliot Axel Patrick Puzenat ,  Stephen Becigneul ,  Alexis Tessier ,  Roger K. Brooks ,  Suman Basetty ,  Kimberly K. Lenox ,  Anil Kamath

IPC: G06F9/451 ,  G06F30/27

CPC classification number: G06F9/453 ,  G06F30/27

Abstract: A method, non-transitory computer readable medium, apparatus, and system for content distribution are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a prompt describing an element of a content distribution campaign. A machine learning model generates a user journey based on the prompt. The user journey includes at least one touchpoint for the content distribution campaign. The user experience platform provides digital content to a user corresponding to the at least one touchpoint based on the user journey.