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公开(公告)号：US12164517B2
公开(公告)日：2024-12-10
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: G06F16/245 , G06F16/2453 , G06F16/2458
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.
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公开(公告)号：US20240256589A1
公开(公告)日：2024-08-01
申请号：US18159726
申请日：2023-01-26
Applicant: ADOBE INC.
Inventor： Vibhor Porwal , Aaron Jerry Ninan , Adit Akarsh , Aryan Yadav , Nischay , Ramasuri Narayanam , Iftikhar Ahamath Burhanuddin
CPC classification number: G06F16/345 , G06F16/35 , G06F40/40
Abstract: Systems and methods for data narration are provided. One aspect of the systems and methods includes obtaining a dataset including a plurality of data elements, wherein each of the data elements includes a plurality of attributes; clustering the plurality of data elements to obtain a plurality of data segments; extracting a plurality of facts from the dataset based on the plurality of data segments; generating a graph including a plurality of nodes corresponding to the plurality of facts, respectively; computing an ordering of the plurality of facts based on the graph; and generating a description of the dataset based on the ordering of the plurality of facts.
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公开(公告)号：US20240028669A1
公开(公告)日：2024-01-25
申请号：US17814394
申请日：2022-07-22
Applicant: Adobe Inc.
Inventor： Vibhor Porwal , Gaurav Sinha
CPC classification number: G06K9/6297 , G06N7/005
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that verify causal graphs utilizing nodes from corresponding Markov equivalence classes. For instance, in one or more embodiments, the disclosed systems receive a causal graph to be validated and a Markov equivalence class that corresponds to the causal graph. Additionally, the disclosed systems determine an intervention set using the causal graph, the intervention set comprising nodes from the Markov equivalence class. Using a plurality of interventions on the nodes of the intervention set, the disclosed systems determine whether the causal graph is valid.
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Patent Agency Ranking
公开(公告)号：US20230051416A1
公开(公告)日：2023-02-16
申请号：US17402788
申请日：2021-08-16
Applicant: Adobe Inc.
Inventor： Vibhor Porwal , Ayush Chauhan , Aurghya Maiti , Gaurav Sinha , Ruchi Sandeep Pandya
Abstract: In implementations of systems for estimating terminal event likelihood, a computing device implements a termination system to receive observed data describing values of a treatment metric and indications of a terminal event. Values of the treatment metric are grouped into groups using a mixture model that represents the treatment metric as a mixture of distributions. Parameters of a distribution are estimated for each of the groups and mixing proportions are also estimated for each of the groups. In response to receiving a user input requesting an estimate of a likelihood of the terminal event for a particular value of the treatment metric, the termination system generates an indication of the estimate of the likelihood of the terminal event for the particular value based on a distribution density at the particular value for each of the groups and a probability of including the particular value in each of the groups.
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公开(公告)号：US20230274310A1
公开(公告)日：2023-08-31
申请号：US17680932
申请日：2022-02-25
Applicant: ADOBE INC.
Inventor： Gaurav Sinha , Vibhor Porwal , Isha Chaudhary , Simarpreet Singh Saluja , Rashul Chutani , Shaurya Goel
CPC classification number: G06Q30/0246 , G06K9/6232 , G06K9/6256
Abstract: An analytics system jointly predicts values for multiple unobserved individual-level features using aggregate data for those features. Given a dataset, a transformation is applied to individual-level information for the dataset to generate transformed data in a higher dimensional space. Bag-wise mean embeddings are generated using the transformed data. The bag-wise mean embeddings and aggregate data for unobserved individual-level features for the dataset are used to train a model to jointly predict values for the unobserved individual-features for data instances. In particular, a given data instance can be transformed to a representation in a higher dimensional space. Given this representation, the trained model predicts values for the unobserved individual-level features for the data instance, and the data instance can be augmented with the predicted values.
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公开(公告)号：US20230244690A1
公开(公告)日：2023-08-03
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 , G06F16/2458 , G06F16/2457
CPC classification number: G06F16/26 , G06F16/2458 , G06F16/24578
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.
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公开(公告)号：US12154042B2
公开(公告)日：2024-11-26
申请号：US17402788
申请日：2021-08-16
Applicant: Adobe Inc.
Inventor： Vibhor Porwal , Ayush Chauhan , Aurghya Maiti , Gaurav Sinha , Ruchi Sandeep Pandya
IPC: G06N7/01 , G06F18/214 , G06F18/2321 , G06F18/23213 , G06N5/046 , G06N20/00 , G06F9/54
Abstract: In implementations of systems for estimating terminal event likelihood, a computing device implements a termination system to receive observed data describing values of a treatment metric and indications of a terminal event. Values of the treatment metric are grouped into groups using a mixture model that represents the treatment metric as a mixture of distributions. Parameters of a distribution are estimated for each of the groups and mixing proportions are also estimated for each of the groups. In response to receiving a user input requesting an estimate of a likelihood of the terminal event for a particular value of the treatment metric, the termination system generates an indication of the estimate of the likelihood of the terminal event for the particular value based on a distribution density at the particular value for each of the groups and a probability of including the particular value in each of the groups.
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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.
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