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公开(公告)号:US20220286438A1
公开(公告)日:2022-09-08
申请号:US17195349
申请日:2021-03-08
Applicant: Adobe Inc.
Inventor: Robert W. Burke, JR. , Ronald Oribio
Abstract: Systems and methods mitigate aggregate exposure of identifying information using machine learning. A privacy monitoring system identifies entities and corresponding entity types by applying a set of domain-specific neural networks, each trained to recognize a particular entity type, to media data extracted from two or more content items associated with a user. The privacy monitoring system computes a privacy score indicating a cumulative privacy risk for potential exposure of identifying information associated with the user from the two or more content items by identifying connections between the identified entities. The connections between the entities are weighted according to the entity types and contribute to the privacy score. A reporting subsystem outputs an indication of a recommended action for mitigating the cumulative privacy risk.
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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.
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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.
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