公开(公告)号：US20240394407A1

公开(公告)日：2024-11-28

申请号：US18324484

申请日：2023-05-26

Applicant: Adobe Inc.

Inventor： Sunav Choudhary ,  Subrata Mitra ,  Sanjay Sukumaran ,  Priyanshu Yadav ,  Munish Gupta ,  Jashn Arora ,  Iftikhar Ahamath Burhanuddin ,  Gautam Choudhary ,  Atharv Tyagi

IPC: G06F21/62

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implements a secure distributed data collaboration architecture for generating synthetic datasets. For example, the disclosed system sends a request to perform a data collaboration with a first dataset of a first local node and a second dataset of a second local node. The disclosed system receives intermediate feature maps from the local nodes that correspond with the datasets and generates a combined feature map. Further, the disclosed system generates a synthetic dataset from the combined feature map by utilizing a central generative model. Moreover, the synthetic dataset generated by the disclosed system is statistically representative of the first dataset and the second dataset.

公开(公告)号：US11797161B2

公开(公告)日：2023-10-24

申请号：US18114084

申请日：2023-02-24

Applicant: Adobe Inc.

Inventor： Kevin Gary Smith ,  William Brandon George ,  Vishwa Vinay ,  Iftikhar Ahamath Burhanuddin

IPC: G06F16/338 ,  G06F3/04842 ,  G06F40/30 ,  G06F40/35 ,  G06F16/332 ,  G06F40/40

CPC classification number: G06F3/04842 ,  G06F16/3328 ,  G06F40/30 ,  G06F40/35 ,  G06F40/40

Abstract: In implementations of systems for generating sequential supporting answer reports, a computing device implements a report system to receive a user input defining a question with respect to a visual representation of analytics data rendered in a user interface. The report system determines a final answer to the question by processing a semantic representation of the question using a machine learning model. A sequence of reports is generated and the sequence defines an order of progression from a first supporting answer to the final answer. Each report of the sequence of reports includes a visual representation of a supporting answer to the question. The report system displays a dashboard in the user interface including a first report of the sequence of reports, the first report depicting a visual representation of the first supporting answer to the question.

公开(公告)号：US20230316124A1

公开(公告)日：2023-10-05

申请号：US17709615

申请日：2022-03-31

Applicant: Adobe Inc.

Inventor： Gautam Choudhary ,  Sk Izajur Rahaman ,  Siba Smarak Panigrahi ,  Prithvi Bhutani ,  Manoj Kilaru ,  Kanishk Singh ,  Iftikhar Ahamath Burhanuddin ,  Aditi Singhania

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: In some embodiments, techniques for identifying bot activity are provided. For example, a process may involve receiving a plurality of samples, wherein each sample is a record of click activity; classifying the plurality of samples among a first class and a second class, using a machine learning model trained by a training process, to produce a corresponding plurality of classification predictions; filtering click activity data, based on information from the plurality of classification predictions, to produce filtered click activity data; and causing a user interface of a computing environment to be modified based on information from the filtered click activity data. The training process includes training the machine learning model to classify samples among the first and second classes, using a training set of samples of the first class, a training set of samples of the second class, and values of a topological loss function calculated based on the training sets.

公开(公告)号：US11321373B2

公开(公告)日：2022-05-03

申请号：US16698383

申请日：2019-11-27

Applicant: Adobe Inc.

Inventor： Prakhar Gupta ,  Iftikhar Ahamath Burhanuddin ,  Harvineet Singh ,  Atanu Ranjan Sinha

IPC: G06F16/33 ,  G06F16/242 ,  G06F16/332 ,  G10L15/22 ,  H04L51/02 ,  G06F40/30 ,  G10L15/26

Abstract: This disclosure covers methods, non-transitory computer readable media, and systems that use an intelligent analytics interface to process natural-language and other inputs to configure an analytics task for the system. The disclosed methods, non-transitory computer readable media, and systems provide the intelligent analytics interface to facilitate an exchange between the systems and a user to determine values for the analytics task. The methods, non-transitory computer readable media, and systems then use these values to execute an analytics task.

公开(公告)号：US12182493B2

公开(公告)日：2024-12-31

申请号：US18484674

申请日：2023-10-11

Applicant: Adobe Inc.

Inventor： Md Main Uddin Rony ,  Fan Du ,  Iftikhar Ahamath Burhanuddin ,  Ryan Rossi ,  Niyati Himanshu Chhaya ,  Eunyee Koh

IPC: G06F17/00 ,  G06F40/106 ,  G06F40/40

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating generation and presentation of insights. In one implementation, a set of data is used to generate a data visualization. A candidate insight associated with the data visualization is generated, the candidate insight being generated in text form based on a text template and comprising a descriptive insight, a predictive insight, an investigative, or a prescriptive insight. A set of natural language insights is generated, via a machine learning model. The natural language insights represent the candidate insight in a text style that is different from the text template. A natural language insight having the text style corresponding with a desired text style is selected for presenting the candidate insight and, thereafter, the selected natural language insight and data visualization are providing for display via a graphical user interface.

公开(公告)号：US12056150B2

公开(公告)日：2024-08-06

申请号：US17649736

申请日：2022-02-02

Applicant: Adobe Inc.

Inventor： Iftikhar Ahamath Burhanuddin ,  Koyel Mukherjee ,  Vibhor Porwal ,  Rebin Silva V ,  Jonathan Ve Vance ,  Gadikoyila Satya Vamsi ,  Meenakshi Chembil Shaji

IPC: G06F16/26 ,  G06F16/2457 ,  G06F16/2458

CPC classification number: G06F16/26 ,  G06F16/24578 ,  G06F16/2458

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for intelligently generating comprehensive and relevant visual data stories from tabular data. The disclosed system can create data stories from a given dataset guided by some user selections to set a theme for the story. In particular, the disclosed system evaluates facts of a dataset to identify significant facts. The disclosed system can order significant facts to create a backbone for the data story based on user selections by utilizing a beam search. Furthermore, the disclosed system can expand the backbone of the data story by generating coherence facts. The disclosed system may present the generated story via a graphical user interface.

公开(公告)号：US20240160890A1

公开(公告)日：2024-05-16

申请号：US18052463

申请日：2022-11-03

Applicant: ADOBE INC.

Inventor： Namyong Park ,  Ryan A. Rossi ,  Eunyee Koh ,  Iftikhar Ahamath Burhanuddin ,  Sungchul Kim ,  Fan Du

IPC: G06N3/04 ,  G06N3/08

CPC classification number: G06N3/04 ,  G06N3/08

Abstract: Systems and methods for contrastive graphing are provided. One aspect of the systems and methods includes receiving a graph including a node; generating a node embedding for the node based on the graph using a graph neural network (GNN); computing a contrastive learning loss based on the node embedding; and updating parameters of the GNN based on the contrastive learning loss.

公开(公告)号：US20230419115A1

公开(公告)日：2023-12-28

申请号：US17846160

申请日：2022-06-22

Applicant: Adobe Inc.

Inventor： Ryan A. Rossi ,  Iftikhar Ahamath Burhanuddin ,  Gautam Choudhary ,  Fan Du ,  Eunyee Koh

IPC: G06N3/08

CPC classification number: G06N3/082

Abstract: In implementations of systems for generating node embeddings for multiple roles, a computing device implements an embeddings system to cluster nodes of a graph into clusters. An initial role membership vector is computed for each of the nodes based on the clusters. The embeddings system generates a first set of role embeddings for a particular node of the nodes based on the initial role membership vector for the particular node and nodes connected to the particular node in the graph. The embeddings system determines an indication of at least one of a node classification or a link prediction for the graph based on the first set of role embeddings and a second set of role embeddings for an additional node of the nodes.

公开(公告)号：US20220383224A1

公开(公告)日：2022-12-01

申请号：US17329934

申请日：2021-05-25

Applicant: ADOBE INC.

Inventor： Atanu Sinha ,  Manoj Kilaru ,  Iftikhar Ahamath Burhanuddin ,  Aneesh Shetty ,  Titas Chakraborty ,  Rachit Bansal ,  Tirupati Saketh Chandra ,  Fan Du ,  Aurghya Maiti ,  Saurabh Mahapatra

IPC: G06Q10/06 ,  G06K9/62

Abstract: Systems and methods for data analytics are described. One or more embodiments of the present disclosure receive target time series data and candidate time series data, where the candidate time series data includes data corresponding to each of a plurality of candidate metrics, train a prediction network to predict the target time series data based on the candidate time series data by setting temporal attention weights corresponding to a plurality of rolling time windows and by setting candidate attention weights corresponding to the plurality of candidate metrics, identify a leading indicator metric for the target time series data from the plurality of candidate metrics based on the temporal attention weights and the candidate attention weights, and signal the leading indicator metric for the target time series data.

公开(公告)号：US20220284340A1

公开(公告)日：2022-09-08

申请号：US17189681

申请日：2021-03-02

Applicant: Adobe Inc.

Inventor： Gautam Choudhary ,  Iftikhar Ahamath Burhanuddin

IPC: G06N20/00 ,  G06F11/34 ,  G06F16/901 ,  G06F16/906 ,  G06K9/62

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a data-driven approach to organize user-activity data for a user into a hierarchy of digital actions, digital tasks, and digital workflows and categorize a vector representing frequent activities from the hierarchy into a persona group for the user. From this vector representation, the disclosed systems can categorize the vector representation from among a distribution of other vector representations for other users into a persona group for the particular user. Based on at least one of the determined persona group or the vector representation, the disclosed systems can use a nodal graph to determine a digital recommendation that the particular user collaborate with other users or collaborate on a particular project.