公开(公告)号：US20250111643A1

公开(公告)日：2025-04-03

申请号：US18375881

申请日：2023-10-02

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Irgelkha Mejia

IPC: G06F16/583 ,  G06F16/532 ,  G06V10/44 ,  G06V20/70

Abstract: Systems and methods for detecting object demands based on query images are provided. An image tagging module generates multiple image tags for a query image. An image content analyzer module analyzes the multiple query image tags based on a knowledge graph associated with an online platform to create query feature data. A theme identification module identifies one or more query themes based on aggregated query image feature data. A demand analysis module generates demand data indicating user demand for an object corresponding to the query theme by comparing the query theme to catalog data of the online platform.

公开(公告)号：US20240320544A1

公开(公告)日：2024-09-26

申请号：US18187864

申请日：2023-03-22

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Michele Saad

IPC: G06N20/00 ,  G06F9/451

CPC classification number: G06N20/00 ,  G06F9/451

Abstract: An object affinity determination and scoring system is described that is configured to support control by object providers in locating related objects. In a first example, an affinity system supports generation of affinity rules through interaction with a rule generation user interface. In a second example, the affinity system supports training and retraining of a machine-learning model to generate the affinity score. In a third example, the affinity scoring module supports output of a user interface having an input portion that supports user interaction to determine an affinity of selected objects to each other.

公开(公告)号：US20240311877A1

公开(公告)日：2024-09-19

申请号：US18183023

申请日：2023-03-13

Applicant: Adobe Inc.

Inventor： Michele Saad

IPC: G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0601

CPC classification number: G06Q30/0281 ,  G06Q30/0201 ,  G06Q30/0631

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and providing recommendations to view items in store by providing item categorization, physical store traffic modelling, historical analysis of returns, and inventory data to a delayed in-situ collaborative filter recommendation engine. In particular, in one or more embodiments, the disclosed systems receive selection of an item to purchase online and pick up in store from a client device. In response, in one or more embodiments, the disclosed systems determine item categorization, accesses physical store traffic modelling, and/or generates an analysis of historical return of items. Further, in one or more embodiments, the disclosed systems utilize a delayed in-situ collaborative filter recommendation engine to determine a recommendation of an additional item to view in store.

公开(公告)号：US11907224B2

公开(公告)日：2024-02-20

申请号：US17666383

申请日：2022-02-07

Applicant: ADOBE INC.

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

IPC: G06F16/00 ,  G06F16/2455 ,  G06F16/248 ,  G06F16/242

CPC classification number: G06F16/24553 ,  G06F16/248 ,  G06F16/2445

Abstract: The present technology provides for facilitating removal of undesired search results. In one embodiment, a search request including a search term(s) to use for performing a search is obtained. Thereafter, a search query is generated to execute the search. The search query includes the search terms and a removal parameter indicating a particular search result to exclude from search results returned in response to the search request. A set of search results are provided for display via a user device. Such a set of search results can be identified based on execution of the search query and exclude the particular search result.

公开(公告)号：US20230350968A1

公开(公告)日：2023-11-02

申请号：US17661641

申请日：2022-05-02

Applicant: Adobe Inc.

Inventor： Irgelkha Mejia ,  Michele Saad ,  Eunyee Koh ,  Andrew Thomson ,  Lauren Dest ,  Dustin Ground ,  Anna Hammond ,  Arjun Athreya ,  Catherine Chiodo

IPC: G06F16/957 ,  G06F16/958 ,  G06F16/9536

CPC classification number: G06F16/9577 ,  G06F16/958 ,  G06F16/9536

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for utilizing machine learning models to extract digital signals from low-results web queries and generate item demand deficiency predictions for digital item lists corresponding to websites. In one or more embodiments, the disclosed systems identify a low-results query submitted by client devices navigating a website. The disclosed systems generate features for the low-results query and the digital item list to generate a deficiency prediction relative to demand indicated by the low-results query. In some embodiments, the disclosed system utilizes a deficiency prediction model to process the extracted signals and generate a deficiency confidence score corresponding to the low-results query. Based on the deficiency confidence score, the disclosed system can generate and provide demand notifications via one or more graphical user interfaces.

公开(公告)号：US20230306714A1

公开(公告)日：2023-09-28

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 ,  G06V10/75 ,  G06V10/56 ,  G06V10/60 ,  G06V10/774 ,  G06T7/10 ,  G06T7/90 ,  G06T3/00

CPC classification number: G06V10/764 ,  G06V10/75 ,  G06V10/56 ,  G06V10/60 ,  G06V10/7747 ,  G06T7/10 ,  G06T7/90 ,  G06T3/0056 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/20081

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.

公开(公告)号：US20230206171A1

公开(公告)日：2023-06-29

申请号：US18117586

申请日：2023-03-06

Applicant: Adobe Inc.

Inventor： Kirankumar Shiragur ,  Tung Thanh Mai ,  Anup Bandigadi Rao ,  Ryan A. Rossi ,  Georgios Theocharous ,  Michele Saad

IPC: G06Q10/0835 ,  G06F17/11 ,  G06Q10/087 ,  G06Q10/047

CPC classification number: G06Q10/08355 ,  G06F17/11 ,  G06Q10/087 ,  G06Q10/047

Abstract: In implementations of item transfer control systems, a computing device implements a transfer system to receive input data describing types of requested items and corresponding quantities of the types of requested items to receive at each of a plurality of destination sites and types of available items and corresponding quantities of the types of available items that are available at each of a plurality of source sites. The transfer system constructs a flow network having a source node for each of the plurality of the source sites and a destination node for each of the plurality of the destination sites. An integral approximate solution is generated that transfers the corresponding quantities of the types of requested items to each of the plurality of the destination sites using a maximum flow solver and the flow network. The transfer system causes transferences of the corresponding quantities of the types of requested items to each of the plurality of the destination sites based on the integral approximate solution.

公开(公告)号：US11636423B2

公开(公告)日：2023-04-25

申请号：US17394707

申请日：2021-08-05

Applicant: Adobe Inc.

Inventor： Kirankumar Shiragur ,  Tung Thanh Mai ,  Anup Bandigadi Rao ,  Ryan A. Rossi ,  Georgios Theocharous ,  Michele Saad

IPC: G06Q10/0835 ,  G06F17/11 ,  G06Q10/087 ,  G06Q10/047

Abstract: In implementations of item transfer control systems, a computing device implements a transfer system to receive input data describing types of requested items and corresponding quantities of the types of requested items to receive at each of a plurality of destination sites and types of available items and corresponding quantities of the types of available items that are available at each of a plurality of source sites. The transfer system constructs a flow network having a source node for each of the plurality of the source sites and a destination node for each of the plurality of the destination sites. An integral approximate solution is generated that transfers the corresponding quantities of the types of requested items to each of the plurality of the destination sites using a maximum flow solver and the flow network. The transfer system causes transferences of the corresponding quantities of the types of requested items to each of the plurality of the destination sites based on the integral approximate solution.

公开(公告)号：US11527023B2

公开(公告)日：2022-12-13

申请号：US17410783

申请日：2021-08-24

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Lauren Dest

IPC: G06T11/00 ,  G09G5/02 ,  G09G5/10 ,  H04N1/60 ,  H04N9/64 ,  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：US20220366265A1

公开(公告)日：2022-11-17

申请号：US17319776

申请日：2021-05-13

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Lauren Dest

IPC: G06N3/08 ,  G06N3/04

Abstract: Techniques are provided for generating intent-informed recommendations by encoding, into a first machine learning network, one or more features representing one or more interactions between at least one member of a first group of users and at least one resource, and extracting, from the first machine learning network, one or more features representing one or more interactions between at least one member of a second group of users and the at least one resource. Using the extracted features, an intent value can be determined by clustering the features of the first and second groups of users into at least one cluster using a second machine learning network. In turn, the intent value informs or otherwise feeds a recommendation engine that is configured to generate at least one recommendation of at least one resource based at least in part on further user interaction data associated with a user session.