公开(公告)号：US12223565B2

公开(公告)日：2025-02-11

申请号：US17839646

申请日：2022-06-14

Applicant: Adobe Inc.

Inventor： Lauren Dest ,  Xin Wang ,  Nathan Baldwin ,  Michele Saad ,  Matthew May ,  Jose Ignacio Echevarria Vallespi ,  Dustin Ground

IPC: G06T11/00 ,  G06T7/11 ,  G06T7/90 ,  G06V10/22 ,  G06V10/762

Abstract: Methods and systems disclosed herein relate generally to increasing visibility of pixel patterns of an image. The system includes a pattern-detection application accessing an image depicting an object. The pattern-detection application determines a set of colors from the transformed image. The pattern-detection application identifies a set of pixels depicting a particular color of the set of colors. For the set of pixels depicting the particular color, the pattern-detection application converts an initial set of pixel values of the set of pixels at an initial color space to another set of pixel values that define the particular color of the set of pixels in another color space. The pattern-detection application modifies one or more values of the other set of pixel values to generate a modified set of pixel values. The modification includes causing the set of pixels visually indicate a simulated color that is different from the particular color.

公开(公告)号：US20240420212A1

公开(公告)日：2024-12-19

申请号：US18335921

申请日：2023-06-15

Applicant: Adobe Inc.

Inventor： Robert W. Burke, JR. ,  Ronald Oribio ,  Michele Saad ,  Irgelkha Mejia

IPC: G06Q30/0601 ,  G06F40/20

Abstract: A feedback management subsystem receives, from a first user, first text comprising commentary on an item. The feedback management subsystem receives, from the first user, instructions to request commentary on the item from a second user. Responsive to receiving the instructions to request commentary from the second user, a communication subsystem transmits a notification to the second user. The feedback management subsystem receives, from the second user, second text comprising commentary on the item. A first machine learning model performs sentiment analysis to identify sentiments of the first text and the second text. A recommendation subsystem identifies prior actions of the first user and associated sentiments of the second user. A second machine learning model identifies a second item based on the prior actions of the first user and the sentiments of the second user. The recommendation subsystem provides output to the first user recommending the second item.

公开(公告)号：US20240257199A1

公开(公告)日：2024-08-01

申请号：US18162945

申请日：2023-02-01

Applicant: ADOBE INC.

Inventor： Soumya Unnikrishnan ,  Michele Saad ,  Saina Lajevardi

IPC: G06Q30/0601 ,  G06Q30/0202

CPC classification number: G06Q30/0621 ,  G06Q30/0202 ,  G06Q30/0625

Abstract: Systems and methods for inferring compatibility relationships are described. Embodiments of the present disclosure identify user interaction history including an interaction between a user and a first product, wherein the first product comprises an attribute that is compatible with a subset of available products; query a database that includes the available products to identify a second product from the subset of available products based on the attribute, wherein the second product is identified based on a knowledge graph that includes a first node representing the first product and a second node representing the second product; and provide a customized user experience for the user that indicates the second product and the attribute.

公开(公告)号：US20240104619A1

公开(公告)日：2024-03-28

申请号：US17934485

申请日：2022-09-22

Applicant: Adobe Inc.

Inventor： Michele Saad

IPC: G06Q30/06

CPC classification number: G06Q30/0605 ,  G06Q30/0603

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that distribute item-based digital content across digital platforms using trend setting participants of those digital platforms. For instance, in one or more embodiments, the disclosed systems generate affinity metrics for digital items from a catalog of digital items with respect to a plurality of trend setting participants of a plurality of digital platforms using attributes of digital posts by the plurality of trend setting participants on the plurality of digital platforms and corresponding attributes of the digital items. The disclosed systems further determine predicted demand metrics for the digital items on the plurality of digital platforms using the affinity metrics. Using the predicted demand metrics, the disclosed systems distribute digital content related to the digital items for display on a plurality of client devices via the plurality of digital platforms.

公开(公告)号：US11935085B1

公开(公告)日：2024-03-19

申请号：US17903360

申请日：2022-09-06

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Igor Miniailo

IPC: G06Q30/02 ,  G06Q30/0207 ,  G06Q30/0601

CPC classification number: G06Q30/0222 ,  G06Q30/0625

Abstract: Embodiments provide systems, methods, and computer storage media for prediction and computation of electronic shopping carts. In an example embodiment, for each interaction between an e-shopper and an e-commerce application, one or more predicted electronic shopping carts that represent a combination of items the e-shopper is likely to purchase are generated based on current items in the e-shopper's electronic shopping cart and recent interactions with the e-shopper. For some or all of the predicted electronic shopping carts (e.g., those with top predicted confidence levels), corresponding shopping cart computations (e.g., identifying application promotions, determining a price total for the items in the predicted shopping cart) are executed and cached prior to the e-shopping adding the predicted items. As such, a page configured to visualize the predicted electronic shopping cart with a value retrieved from the cached shopping cart computations (e.g., price total for the predicted electronic shopping cart) is generated.

公开(公告)号：US20240046399A1

公开(公告)日：2024-02-08

申请号：US18489399

申请日：2023-10-18

Applicant: Adobe Inc.

Inventor： Irgelkha Mejia ,  Ronald Oribio ,  Robert Burke ,  Michele Saad

IPC: G06Q50/26 ,  G06F16/48 ,  G06F40/40 ,  G06F21/62 ,  G06N3/08 ,  G06Q10/0635 ,  G06Q10/10 ,  G06Q50/00

CPC classification number: G06Q50/265 ,  G06F16/48 ,  G06F40/40 ,  G06F21/6245 ,  G06N3/08 ,  G06Q10/0635 ,  G06Q10/10 ,  G06Q50/01 ,  G06F3/0482

Abstract: Systems and methods use machine learning models with content editing tools to prevent or mitigate inadvertent disclosure and dissemination of sensitive data. Entities associated with private information are identified by applying a trained machine learning model to a set of unstructured text data received via an input field of an interface. A privacy score is computed for the text data by identifying connections between the entities, the connections between the entities contributing to the privacy score according to a cumulative privacy risk, the privacy score indicating potential exposure of the private information. The interface is updated to include an indicator distinguishing a target portion of the set of unstructured text data within the input field from other portions of the set of unstructured text data within the input field, wherein a modification to the target portion changes the potential exposure of the private information indicated by the privacy score.

公开(公告)号：US11430041B2

公开(公告)日：2022-08-30

申请号：US16829410

申请日：2020-03-25

Applicant: Adobe Inc.

Inventor： Michele Saad

IPC: G06Q30/00 ,  G06Q30/06 ,  G06Q30/02 ,  G06F16/903 ,  G06K9/62 ,  G06N20/00

Abstract: This disclosure describes one or more embodiments of systems, methods, and non-transitory computer-readable media that determine a degree of diversification for item recommendations to a user based on the user's input and generate diverse item recommendations for the user according to the degree of diversification. For instance, the disclosed systems can receive a diversification metric from a client device based on a user interaction with a selectable tool (or another interactive element) in a graphical user interface. From among data segments representing users clustered according to item affinities, the disclosed systems can subsequently use the diversification metric to identify a data segment that is diverse from a reference data segment for the user. The disclosed systems further rank items associated with the diverse data segment to select an anomalous item as an item recommendation for display on the client device.

公开(公告)号：US20220188895A1

公开(公告)日：2022-06-16

申请号：US17120583

申请日：2020-12-14

Applicant: Adobe Inc.

Inventor： Nedim Lipka ,  Michele Saad ,  Georgios Theocharous

IPC: G06Q30/06 ,  G06F40/289 ,  G06N5/02 ,  G06N5/04

Abstract: Unstructured texts associated with a product is received, where the unstructured texts include, for example, a title of the product, one or more reviews of the product, questions and/or answers associated with the product. A phrase in an unstructured text is identified. A first knowledge base is searched, to identify that the phrase is a feature value that is associated with a feature. For example, the first knowledge base lists the feature value to be an instance of the feature. Accordingly, a tuple is generated, where the tuple includes the product as a subject, the feature as a predicate, and the feature value comprising the phrase as an object. A second knowledge base is updated with the tuple. The second knowledge base is usable for processing queries about the product. For example, the second knowledge base is used to generate a result of a query about the product.

公开(公告)号：US20220036603A1

公开(公告)日：2022-02-03

申请号：US17410783

申请日：2021-08-24

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Lauren Dest

IPC: G06T11/00 ,  G06T5/00

Abstract: Methods and systems disclosed herein relate generally to systems and methods for modifying pixel values of an image to improve the visibility of target pixel patterns. A pixel-simulation application accesses an initial image including an initial set of pixel values. The initial set of pixel values define, in an initial color space, a particular color of pixels that indicate a target pixel pattern. The pixel-simulation application generates, based on the initial set of pixel values, a simulated image including a modified set of pixel values that visually indicate another color of pixels in an intermediate color space. The pixel-simulation application generates a pixel map by identifying a difference between the initial set pixel values of the initial image and the modified set of pixel values of simulated image. The pixel-simulation application generates, for display, an output image based at least in part on the pixel map.

公开(公告)号：US12243288B2

公开(公告)日：2025-03-04

申请号：US17704030

申请日：2022-03-25

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Ronald Oribio ,  Robert W. Burke, Jr. ,  Irgelkha Mejia

IPC: G06V10/764 ,  G06T3/10 ,  G06T7/10 ,  G06T7/90 ,  G06V10/56 ,  G06V10/60 ,  G06V10/75 ,  G06V10/774

Abstract: Certain aspects and features of this disclosure relate to chromatic undertone detection. For example, a method involves receiving an image file and producing, using a color warmth classifier, an image warmth profile from the image file. The method further involves applying a surface-image-trained machine-learning model to the image warmth profile to produce an inferred undertone value for the image file. The method further involves comparing, using a recommendation module, and the inferred undertone value, an image color value to a plurality of pre-existing color values corresponding to a database of production images, and causing, in response to the comparing, interactive content including the at least one production image selection from the database of production images to be provided on a recipient device.