公开(公告)号：US20240331003A1

公开(公告)日：2024-10-03

申请号：US18295104

申请日：2023-04-03

Applicant: ADOBE INC.

Inventor： Michele SAAD ,  Robert William BURKE, JR. ,  Irgelkha Mejia ,  Ronald Eduardo ORIBIO

IPC: G06Q30/0601

CPC classification number: G06Q30/0627 ,  G06Q30/0631 ,  G06Q30/0643

Abstract: A search system determines a hierarchy of attributes for a set of search results and returns the search results based on a top-ranked attribute. The search system identifies item listings based on a search input and determines attributes of the item listings. A machine learning model generates a hierarchy of the attributes. The search results are provided based on a top-ranked attribute from the hierarchy of the attributes.

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.