公开(公告)号：US20240095440A1

公开(公告)日：2024-03-21

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: G06F40/106 ,  G06F40/40

CPC classification number: 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：US20240220502A1

公开(公告)日：2024-07-04

申请号：US18092779

申请日：2023-01-03

Applicant: Adobe Inc.

Inventor： Vibhor PORWAL ,  Yeuk-Yin CHAN ,  Vidit BHATIA ,  Subrata MITRA ,  Shaddy GARG ,  Sergey N. KAZARIN ,  Sameeksha ARORA ,  Himanshu PANDAY ,  Gautam Pratap KOWSHIK ,  Fan DU ,  Anup Bandigadi RAO ,  Anil MALKANI

IPC: G06F16/2453 ,  G06F16/2458

CPC classification number: G06F16/24544 ,  G06F16/2462

Abstract: To retrieve information derived from a plurality of separately stored datasets, join structures are identified within the plurality of separately stored datasets. Join structures can include datasets joined by a central dataset, datasets joined by a single key, and datasets joined across a plurality of keys. Each of the join structures corresponds to a query processing schema that defines a sampling technique. When a join query is received as a SQL query, the join query identifies a portion of the plurality of separately stored datasets, from which a join structure is selected and a corresponding query processing schema is identified. The join query is reconstructed to form a reconstructed join query that comprises query processing schema instructions to derive the requested information using the sampling technique defined by the identified query processing schema.

公开(公告)号：US20230281203A1

公开(公告)日：2023-09-07

申请号：US17685223

申请日：2022-03-02

Applicant: ADOBE INC.

Inventor： Jonathan KO ,  Ayush TYAGI ,  Fan DU ,  Yi JIN ,  Keshav VADREVU

IPC: G06F16/2455

CPC classification number: G06F16/24568

Abstract: Systems and methods for configuring data stream filtering are disclosed. In one embodiment, a method for data stream processing comprises receiving an incoming dataset stream at a data stream processing environment, wherein the dataset stream comprises a data stream; configuring with a streaming data filter configuration tool, one or more filter parameters for a data filter that receives the data stream; computing with the streaming data filter configuration tool, one or more filter statistics estimates based on the filter parameters, wherein the filter statistics estimates are computed from sample elements of a representative sample of the data stream retrieved from a representative sample data store; outputting to a workstation user interface the filter statistics estimates; and configuring the data filter to apply the filter parameters to the data stream in response to an instruction from the workstation user interface.

公开(公告)号：US20250103912A1

公开(公告)日：2025-03-27

申请号：US18471996

申请日：2023-09-21

Applicant: Adobe Inc.

Inventor： Raunak SHAH ,  Vibhor PORWAL ,  Koyel MUKHERJEE ,  Iftikhar Ahamath BURHANUDDIN ,  Saurabh MAHAPATRA ,  Annamalai ANNAMALAI ,  Fan DU

IPC: G06N5/022

Abstract: A data insight generation system generates facts from a dataset. Importance scores are determined for the facts. Facts having the highest importance scores are generated for display at a user interface. A selection of a displayed fact is received. Based on the selection, dependent facts are generated by adding subspaces to the selected fact. The dependent facts are generated for display at the user interface.

公开(公告)号：US20220414468A1

公开(公告)日：2022-12-29

申请号：US17823390

申请日：2022-08-30

Applicant: Adobe Inc.

Inventor： Fan DU ,  Sungchul KIM ,  Shunan GUO ,  Sana LEE ,  Eunyee KOH

IPC: G06N3/08 ,  G06N7/00 ,  G06N20/10 ,  G06N5/02 ,  G06N3/04

Abstract: Disclosed systems and methods predict and visualize outcomes based on past events. For example, an analysis application encodes a sequence of events into a feature vector that includes, for each event, a numerical representation of a respective category and a respective timestamp. The application applies a time-aware recurrent neural network to the feature vector, resulting in one or more of (i) a set of future events in which each event is associated with a probability and a predicted duration and (ii) a sequence embedding that contains information about predicted outcomes and temporal patterns observed in the sequence of events. The application applies a support vector model classifier to the sequence embedding. The support vector model classifier computes a likelihood of a categorical outcome for each of the events in the probability distribution. The application modifies interactive content according to the categorical outcomes and probability distribution.