公开(公告)号：US12229804B2

公开(公告)日：2025-02-18

申请号：US17366910

申请日：2021-07-02

Applicant: ADOBE INC.

Inventor： Lei Zhang ,  Lijun Yu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai

IPC: G06Q30/02 ,  G06Q30/0272

Abstract: Methods and systems are provided for improved electronic communication campaign technologies, which can automatically balance objectives or goals of an electronic communication campaign against an overall opt-out rate for the electronic communication campaign. An electronic communications frequency optimizer can generate individual contact frequencies for individual email recipients. Embodiments can avoid unnecessary or counterproductive communications while achieving overall campaign goals, and can use processes to improve the efficiency of systems. In some cases, embodiments cluster communication recipients into different groups based on their past actions, then optimizes the communication contact frequency on different groups, to avoid performing optimization directly on millions of recipients. Some embodiments automatically self-update, for example with recipients' recent responses, to generate and/or implement campaign communication schedules on an individual level.

公开(公告)号：US12021812B2

公开(公告)日：2024-06-25

申请号：US17509885

申请日：2021-10-25

Applicant: ADOBE INC.

Inventor： Lijun Yu ,  Wuyang Dai ,  Jun He ,  Hsiang-Yu Yang ,  Zhenyu Yan

IPC: G06F15/16 ,  G06F18/10 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2413 ,  G06N20/00 ,  H04L51/222

CPC classification number: H04L51/222 ,  G06F18/10 ,  G06F18/214 ,  G06F18/217 ,  G06F18/24147 ,  G06N20/00

Abstract: Methods and systems are provided for facilitating time zone prediction using electronic communication data. Electronic message data associated with a message recipient of electronic communications is obtained. The electronic message data includes message delivery data associated with an electronic message and message response data associated with a response, by the message recipient, to a received electronic message. Using a machine learning model and based on the message delivery data and the message response data, a time-zone score is determined for a time zone. Such a time-zone score can indicate a probability the time zone corresponds with the message recipient. Based on the time-zone score, the time zone is identified as corresponding with the message recipient.

公开(公告)号：US20200327419A1

公开(公告)日：2020-10-15

申请号：US16384558

申请日：2019-04-15

Applicant: Adobe Inc.

Inventor： Lei Zhang ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Abhishek Pani

IPC: G06N3/08 ,  G06F17/18 ,  G06N3/10

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a target distribution schedule for providing electronic communications based on predicted behavior rates by utilizing a genetic algorithm and one or more objective functions. For example, the disclosed systems can generate predicted behavior rates by training and utilizing one or more behavior prediction models. Based on the predicted behavior rates, the disclosed systems can further utilize a genetic algorithm to apply objective functions to generate one or more candidate distribution schedules. In accordance with the genetic algorithm, the disclosed systems can select a target distribution schedule for a particular user/client device. The disclosed systems can thus provide one or more electronic communications to individual users based on respective target distribution schedules.

公开(公告)号：US20240323156A1

公开(公告)日：2024-09-26

申请号：US18680804

申请日：2024-05-31

Applicant: Adobe Inc.

Inventor： Lijun Yu ,  Wuyang Dai ,  Jun He ,  Hsiang-Yu Yang ,  Zhenyu Yan

IPC: H04L51/222 ,  G06F18/10 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2413 ,  G06N20/00

CPC classification number: H04L51/222 ,  G06F18/10 ,  G06F18/214 ,  G06F18/217 ,  G06F18/24147 ,  G06N20/00

Abstract: Methods and systems are provided for facilitating time zone prediction using electronic communication data. Electronic message data associated with a message recipient of electronic communications is obtained. The electronic message data includes message delivery data associated with an electronic message and message response data associated with a response, by the message recipient, to a received electronic message. Using a machine learning model and based on the message delivery data and the message response data, a time-zone score is determined for a time zone. Such a time-zone score can indicate a probability the time zone corresponds with the message recipient. Based on the time-zone score, the time zone is identified as corresponding with the message recipient.

公开(公告)号：US11961109B2

公开(公告)日：2024-04-16

申请号：US16742386

申请日：2020-01-14

Applicant: ADOBE INC.

Inventor： Lei Zhang ,  Jun He ,  Tingting Xu ,  Jalaj Bhandari ,  Wuyang Dai ,  Zhenyu Yan

IPC: G06Q30/00 ,  G06F18/20 ,  G06N3/08 ,  G06N20/00 ,  G06Q10/107 ,  G06Q30/0207

CPC classification number: G06Q30/0239 ,  G06F18/295 ,  G06N3/08 ,  G06N20/00 ,  G06Q10/107

Abstract: Systems and methods for customer journey optimization in email marketing are described. The systems and methods may identify a plurality of messages for a first time period, wherein the plurality of messages are categorized according to a plurality of messages types, identify user information for a customer, wherein the user information includes user interaction data, determine a message type from the plurality of message types for the first time period based on the user information, wherein the message type is determined using a decision making model comprising a deep Q-learning neural network, select a message from the plurality of messages based on the determined message type, and transmit the message to the customer during the first time period based on the selection.

公开(公告)号：US11645542B2

公开(公告)日：2023-05-09

申请号：US16384558

申请日：2019-04-15

Applicant: Adobe Inc.

Inventor： Lei Zhang ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Abhishek Pani

IPC: G06F17/18 ,  G06N3/086 ,  G06N3/10 ,  G06Q30/02 ,  G06F8/38

CPC classification number: G06N3/086 ,  G06F17/18 ,  G06N3/10

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a target distribution schedule for providing electronic communications based on predicted behavior rates by utilizing a genetic algorithm and one or more objective functions. For example, the disclosed systems can generate predicted behavior rates by training and utilizing one or more behavior prediction models. Based on the predicted behavior rates, the disclosed systems can further utilize a genetic algorithm to apply objective functions to generate one or more candidate distribution schedules. In accordance with the genetic algorithm, the disclosed systems can select a target distribution schedule for a particular user/client device. The disclosed systems can thus provide one or more electronic communications to individual users based on respective target distribution schedules.

公开(公告)号：US20230129808A1

公开(公告)日：2023-04-27

申请号：US17509885

申请日：2021-10-25

Applicant: ADOBE INC.

Inventor： Lijun Yu ,  Wuyang Dai ,  Jun He ,  Hsiang-Yu Yang ,  Zhenyu Yan

IPC: H04L12/58 ,  G06K9/62 ,  G06N20/00

Abstract: Methods and systems are provided for facilitating time zone prediction using electronic communication data. Electronic message data associated with a message recipient of electronic communications is obtained. The electronic message data includes message delivery data associated with an electronic message and message response data associated with a response, by the message recipient, to a received electronic message. Using a machine learning model and based on the message delivery data and the message response data, a time-zone score is determined for a time zone. Such a time-zone score can indicate a probability the time zone corresponds with the message recipient. Based on the time-zone score, the time zone is identified as corresponding with the message recipient.

公开(公告)号：US20230005023A1

公开(公告)日：2023-01-05

申请号：US17366910

申请日：2021-07-02

Applicant: ADOBE INC.

Inventor： Lei Zhang ,  Lijun Yu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai

IPC: G06Q30/02

Abstract: Methods and systems are provided for improved electronic communication campaign technologies, which can automatically balance objectives or goals of an electronic communication campaign against an overall opt-out rate for the electronic communication campaign. An electronic communications frequency optimizer can generate individual contact frequencies for individual email recipients. Embodiments can avoid unnecessary or counterproductive communications while achieving overall campaign goals, and can use processes to improve the efficiency of systems. In some cases, embodiments cluster communication recipients into different groups based on their past actions, then optimizes the communication contact frequency on different groups, to avoid performing optimization directly on millions of recipients. Some embodiments automatically self-update, for example with recipients' recent responses, to generate and/or implement campaign communication schedules on an individual level.

公开(公告)号：US20250068800A1

公开(公告)日：2025-02-27

申请号：US18455005

申请日：2023-08-24

Applicant: ADOBE INC.

Inventor： Lei Zhang ,  Jun He ,  Zhenyu Yan ,  Roger K. Brooks

IPC: G06F30/27

Abstract: Systems and methods for pre-deployment user journey evaluation are described. Embodiments are configured to obtain a user journey including a plurality of touchpoints; generate a simulation agent including a plurality of attributes; generate a probability score for the simulation agent for each of the plurality of touchpoints based on the plurality of attributes using a machine learning model; perform a simulation of the user journey based on the probability score; and generate a text describing the user journey based on the simulation.

公开(公告)号：US20240143941A1

公开(公告)日：2024-05-02

申请号：US18050285

申请日：2022-10-27

Applicant: Adobe Inc.

Inventor： Suofei Wu ,  Jun He ,  Zhenyu Yan

IPC: G06F40/40 ,  G06F40/295 ,  G06N3/08

CPC classification number: G06F40/40 ,  G06F40/295 ,  G06N3/08

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that utilize machine learning to generate subject lines from subject line keywords. In one or more embodiments, the disclosed systems receive, from a client device, one or more subject line keywords. Additionally, the disclosed systems generate, utilizing a subject generation machine-learning model having learned parameters, a subject line by selecting one or more words for the subject line from a word distribution based on the one or more subject line keywords. The disclosed systems further provide, for display on the client device, the subject line.