公开(公告)号：US11544281B2

公开(公告)日：2023-01-03

申请号：US17100618

申请日：2020-11-20

Applicant: Adobe Inc.

Inventor： Subrata Mitra ,  Nikhil Sheoran ,  Anup Rao ,  Tung Mai ,  Sapthotharan Krishnan Nair ,  Shivakumar Vaithyanathan ,  Thomas Jacobs ,  Ghetia Siddharth ,  Jatin Varshney ,  Vikas Maddukuri ,  Laxmikant Mishra

IPC: G06F16/2458 ,  G06F16/215 ,  G06F16/28 ,  G06F16/22 ,  G06N20/00 ,  G06K9/62

Abstract: In some embodiments, a model training system trains a sample generation model configured to generate synthetic data entries for a dataset. The sample generation model includes a prior model for generating an estimated latent vector from a partially observed data entry, a proposal model for generating a latent vector from a data entry of the dataset and a mask corresponding to the partially observed data entry, and a generative model for generating the synthetic data entries from the latent vector and the partially observed data entry. The model training system trains the sample generation model to optimize an objective function that includes a first term determined using the synthetic data entries and a second term determined using the estimated latent vector and the latent vector. The trained sample generation model can be executed on a client computing device to service queries using the generated synthetic data entries.

公开(公告)号：US20220164346A1

公开(公告)日：2022-05-26

申请号：US17100618

申请日：2020-11-20

Applicant: Adobe Inc.

Inventor： Subrata Mitra ,  Nikhil Sheoran ,  Anup Rao ,  Tung Mai ,  Sapthotharan Krishnan Nair ,  Shivakumar Vaithyanathan ,  Thomas Jacobs ,  Ghetia Siddharth ,  Jatin Varshney ,  Vikas Maddukuri ,  Laxmikant Mishra

IPC: G06F16/2458 ,  G06F16/215 ,  G06F16/28 ,  G06F16/22 ,  G06K9/62 ,  G06N20/00

Abstract: In some embodiments, a model training system trains a sample generation model configured to generate synthetic data entries for a dataset. The sample generation model includes a prior model for generating an estimated latent vector from a partially observed data entry, a proposal model for generating a latent vector from a data entry of the dataset and a mask corresponding to the partially observed data entry, and a generative model for generating the synthetic data entries from the latent vector and the partially observed data entry. The model training system trains the sample generation model to optimize an objective function that includes a first term determined using the synthetic data entries and a second term determined using the estimated latent vector and the latent vector. The trained sample generation model can be executed on a client computing device to service queries using the generated synthetic data entries.

公开(公告)号：US20240232271A9

公开(公告)日：2024-07-11

申请号：US18049083

申请日：2022-10-24

Applicant: ADOBE INC.

Inventor： Nathan Ng ,  Tung Mai ,  Thomas Greger ,  Kelly Quinn Nicholes ,  Antonio Cuevas ,  Saayan Mitra ,  Somdeb Sarkhel ,  Anup Bandigadi Rao ,  Ryan A. Rossi ,  Viswanathan Swaminathan ,  Shivakumar Vaithyanathan

IPC: G06F16/9535 ,  H04L67/306

CPC classification number: G06F16/9535 ,  H04L67/306

Abstract: Systems and methods for dynamic user profile management are provided. One aspect of the systems and methods includes receiving, by a lookup component, a request for a user profile; computing, by a profile component, a time-to-live (TTL) refresh value for the user profile based on a lookup history of the user profile; updating, by the profile component, a TTL value of the user profile based on the request and the TTL refresh value; storing, by the profile component, the user profile and the updated TTL value in the edge database; and removing, by the edge database, the user profile from the edge database based on the updated TTL value.

公开(公告)号：US20240134919A1

公开(公告)日：2024-04-25

申请号：US18049083

申请日：2022-10-23

Applicant: ADOBE INC.

Inventor： Nathan Ng ,  Tung Mai ,  Thomas Greger ,  Kelly Quinn Nicholes ,  Antonio Cuevas ,  Saayan Mitra ,  Somdeb Sarkhel ,  Anup Bandigadi Rao ,  Ryan A. Rossi ,  Viswanathan Swaminathan ,  Shivakumar Vaithyanathan

IPC: G06F16/9535 ,  H04L67/306

CPC classification number: G06F16/9535 ,  H04L67/306

Abstract: Systems and methods for dynamic user profile management are provided. One aspect of the systems and methods includes receiving, by a lookup component, a request for a user profile; computing, by a profile component, a time-to-live (TTL) refresh value for the user profile based on a lookup history of the user profile; updating, by the profile component, a TTL value of the user profile based on the request and the TTL refresh value; storing, by the profile component, the user profile and the updated TTL value in the edge database; and removing, by the edge database, the user profile from the edge database based on the updated TTL value.

公开(公告)号：US12130876B2

公开(公告)日：2024-10-29

申请号：US18049069

申请日：2022-10-24

Applicant: ADOBE INC.

Inventor： Nathan Ng ,  Tung Mai ,  Thomas Greger ,  Kelly Quinn Nicholes ,  Antonio Cuevas ,  Saayan Mitra ,  Somdeb Sarkhel ,  Anup Bandigadi Rao ,  Ryan A. Rossi ,  Viswanathan Swaminathan ,  Shivakumar Vaithyanathan

IPC: G06F16/00 ,  G06F16/906 ,  G06F16/9535 ,  G06F16/9538 ,  H04L67/306

CPC classification number: G06F16/9535 ,  G06F16/906 ,  G06F16/9538 ,  H04L67/306

Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.

公开(公告)号：US20240134918A1

公开(公告)日：2024-04-25

申请号：US18049069

申请日：2022-10-23

Applicant: ADOBE INC.

Inventor： Nathan Ng ,  Tung Mai ,  Thomas Greger ,  Kelly Quinn Nicholes ,  Antonio Cuevas ,  Saayan Mitra ,  Somdeb Sarkhel ,  Anup Bandigadi Rao ,  Ryan A. Rossi ,  Viswanathan Swaminathan ,  Shivakumar Vaithyanathan

IPC: G06F16/9535 ,  G06F16/906 ,  G06F16/9538 ,  H04L67/306

CPC classification number: G06F16/9535 ,  G06F16/906 ,  G06F16/9538 ,  H04L67/306

Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.

公开(公告)号：US20240232270A9

公开(公告)日：2024-07-11

申请号：US18049069

申请日：2022-10-24

Applicant: ADOBE INC.

Inventor： Nathan Ng ,  Tung Mai ,  Thomas Greger ,  Kelly Quinn Nicholes ,  Antonio Cuevas ,  Saayan Mitra ,  Somdeb Sarkhel ,  Anup Bandigadi Rao ,  Ryan A. Rossi ,  Viswanathan Swaminathan ,  Shivakumar Vaithyanathan

IPC: G06F16/9535 ,  G06F16/906 ,  G06F16/9538 ,  H04L67/306

CPC classification number: G06F16/9535 ,  G06F16/906 ,  G06F16/9538 ,  H04L67/306

Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.