公开(公告)号：US11803872B2

公开(公告)日：2023-10-31

申请号：US17319881

申请日：2021-05-13

Applicant: Adobe Inc.

Inventor： Kokil Jaidka ,  Sumit Shekhar

IPC: G06Q30/0242 ,  G06N20/00 ,  G06F16/245 ,  G06F16/22

CPC classification number: G06Q30/0242 ,  G06F16/2228 ,  G06F16/245 ,  G06N20/00

Abstract: Various embodiments are directed to assigning offers to marketing deliveries utilizing new features to describe offers in the marketing deliveries. Marketing deliveries can be described at a finer level to thus enhance the effectiveness of building and conducting marketing campaigns. The approaches facilitate matching content to recipients, predicting content performance, and measuring content performance after dispatching a marketing delivery.

公开(公告)号：US11537787B2

公开(公告)日：2022-12-27

申请号：US17188302

申请日：2021-03-01

Applicant: Adobe Inc.

Inventor： Sumit Shekhar ,  Vedant Raval ,  Tripti Shukla ,  Simarpreet singh Saluja ,  Paridhi Maheshwari ,  Divyam Gupta

IPC: G06F17/00 ,  G06F40/186 ,  G06F40/106 ,  G06K9/62 ,  G06N3/04

Abstract: Certain embodiments involve a template-based redesign of documents based on the contents of documents. For instance, a computing system selects a template for modifying an input document. To do so, the computing system uses a generative adversarial network to generate an interpolated layout image from an input layout image, which represents the input document, and a template layout image, which represents the selected template. The computing system matches the input element to an interpolated element from the interpolated layout image. The computing system generates an output document by, for example, modifying a layout of the input document to match the interpolated layout image, such as by fitting the input element into a shape of the interpolated element.

公开(公告)号：US20220405314A1

公开(公告)日：2022-12-22

申请号：US17354954

申请日：2021-06-22

Applicant: ADOBE INC.

Inventor： Fan Du ,  Zening Qu ,  Vasanthi Swaminathan Holtcamp ,  Tak Yeon Lee ,  Sungchul Kim ,  Saurabh Mahapatra ,  Sana Malik Lee ,  Ryan A. Rossi ,  Nikhil Belsare ,  Eunyee Koh ,  Andrew Thomson ,  Sumit Shekhar

IPC: G06F16/33 ,  G06F16/338 ,  G06N5/04

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating data visualization generation. In one implementation, dataset intent data, visual design intent data, and insight intent data determined from a user input natural language query are obtained. A set of candidate intent recommendations is generated using various combinations of the dataset intent data, visual design intent data, and insight intent data. Each of the candidate intent recommendations is incorporated into a set of visualization templates to determine eligibility of the candidate intent recommendations. For eligible candidate intent recommendations, a score associated with a corresponding visualization template is determined. Based on the scores, a candidate intent recommendation and corresponding visualizations template is selected to use as a visual recommendation for presenting a data visualization.

公开(公告)号：US20220253630A1

公开(公告)日：2022-08-11

申请号：US17170307

申请日：2021-02-08

Applicant: ADOBE INC.

Inventor： Sumit Shekhar ,  Bhanu Prakash Reddy Guda ,  Ashutosh Chaubey ,  Ishan Jindal ,  Avneet Jain

IPC: G06K9/00 ,  G06K9/62 ,  G06N20/00

Abstract: Systems and methods for training an object detection network are described. Embodiments train an object detection network using a labeled training set, wherein each element of the labeled training set includes an image and ground truth labels for object instances in the image, predict annotation data for a candidate set of unlabeled data using the object detection network, select a sample image from the candidate set using a policy network, generate a labeled sample based on the selected sample image and the annotation data, wherein the labeled sample includes labels for a plurality of object instances in the sample image, and perform additional training on the object detection network based at least in part on the labeled sample.

公开(公告)号：US20220244815A1

公开(公告)日：2022-08-04

申请号：US17161770

申请日：2021-01-29

Applicant: Adobe Inc.

Inventor： Camille Harris ,  Zening Qu ,  Sana Lee ,  Ryan Rossi ,  Fan Du ,  Eunyee Koh ,  Tak Yeon Lee ,  Sungchul Kim ,  Handong Zhao ,  Sumit Shekhar

IPC: G06F3/0482 ,  G06F3/0484 ,  G06F17/15

Abstract: In some embodiments, a data visualization system detects insights from a dataset and computes insight scores for respective insights. The data visualization system further computes insight type scores, from the insight scores, for insight types in the detected insights. The data visualization system determines a selected insight type for the dataset having a higher insight type score than unselected insight types and determines, for the selected insight type, a set of selected insights that have higher insight scores than unselected insights. The data visualization system determines insight visualizations for the set of selected insights and generates, for inclusion in a user interface of the data visualization system, selectable interface elements configured for invoking an editing tool for updating the determined insight visualizations from the dataset. The selectable interface elements are arranged in the user interface according to the insight scores of the set of selected insights.

公开(公告)号：US20210264463A1

公开(公告)日：2021-08-26

申请号：US17319881

申请日：2021-05-13

Applicant: Adobe Inc.

Inventor： Kokil Jaidka ,  Sumit Shekhar

IPC: G06Q30/02 ,  G06N20/00 ,  G06F16/245 ,  G06F16/22

Abstract: Various embodiments are directed to assigning offers to marketing deliveries utilizing new features to describe offers in the marketing deliveries. Marketing deliveries can be described at a finer level to thus enhance the effectiveness of building and conducting marketing campaigns. The approaches facilitate matching content to recipients, predicting content performance, and measuring content performance after dispatching a marketing delivery.

公开(公告)号：US11055735B2

公开(公告)日：2021-07-06

申请号：US15258909

申请日：2016-09-07

Applicant: Adobe Inc.

Inventor： Kokil Jaidka ,  Sumit Shekhar

IPC: G06Q30/02 ,  G06N20/00 ,  G06F16/245 ,  G06F16/22

Abstract: Various embodiments are directed to assigning offers to marketing deliveries utilizing new features to describe offers in the marketing deliveries. Marketing deliveries can be described at a finer level to thus enhance the effectiveness of building and conducting marketing campaigns. The approaches facilitate matching content to recipients, predicting content performance, and measuring content performance after dispatching a marketing delivery.

公开(公告)号：US10932004B2

公开(公告)日：2021-02-23

申请号：US15414366

申请日：2017-01-24

Applicant: ADOBE INC.

Inventor： Sumit Shekhar ,  Nishant Yadav ,  Anindya Shankar Bhandari ,  Aditya Siddhant

IPC: H04N21/466 ,  H04N21/4788 ,  H04N21/442 ,  H04N21/45 ,  H04N21/482 ,  G06F16/435 ,  G06F16/9535 ,  G06Q50/00 ,  G06Q10/10

Abstract: Embodiments are directed towards recommending and providing content to a user group for the social consumption of recommended content. Embodiments include generating an individual recommendation for the users based on user preferences of the plurality of users. A group recommendation is generated based on a combination of the individual recommendations. The group recommendation is provided to each of the plurality of users. The group may collaborate over the group recommendation. During collaboration, the group may generate a dialog that includes a discussion based on the group recommendation. Keyword and sentiment pairs, included in the dialog, are determined. The group recommendation is updated based on the keywords and sentiments. The updated group recommendation is provided to the users. In response to detecting a group consensus while monitoring the group collaboration, content associated with the group consensus is provided to the users. Providing the content enables a social content-consuming experience.