公开(公告)号：US20220309523A1

公开(公告)日：2022-09-29

申请号：US17664601

申请日：2022-05-23

Applicant: Adobe Inc.

Inventor： Xinyue Liu ,  Suofei Wu ,  Chang Liu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Shengyun Peng

IPC: G06Q30/02 ,  G06Q10/10 ,  H04L51/56

Abstract: Introduced here are approaches for identifying the optimal send time for messages by accounting for hidden confounders, such as the content of those messages, delivery channel, etc. These approaches use a causal inference framework to discover and then remove the impact of hidden confounders. These approaches may be employed by a marketing and analytics platform (or simply “marketing platform”) that may be used to design, implement, or review digital marketing campaigns. The marketing platform can consider the send time as a treatment and then employ machine learning (ML) models that consider the send time, features of the recipient, and hidden confounders to produce a ranked series of send times with the effect of the hidden confounders marginalized. Approaches to performing offline evaluations that mimic A/B tests using data related to existing field experiments are also introduced here.

公开(公告)号：US20210357952A1

公开(公告)日：2021-11-18

申请号：US16877385

申请日：2020-05-18

Applicant: Adobe Inc.

Inventor： Xinyue Liu ,  Suofei Wu ,  Chang Liu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Shengyun Peng

IPC: G06Q30/02 ,  G06Q10/10 ,  H04L12/58

Abstract: Introduced here are approaches for identifying the optimal send time for messages by accounting for hidden confounders, such as the content of those messages, delivery channel, etc. These approaches use a causal inference framework to discover and then remove the impact of hidden confounders. These approaches may be employed by a marketing and analytics platform (or simply “marketing platform”) that may be used to design, implement, or review digital marketing campaigns. The marketing platform can consider the send time as a treatment and then employ machine learning (ML) models that consider the send time, features of the recipient, and hidden confounders to produce a ranked series of send times with the effect of the hidden confounders marginalized. Approaches to performing offline evaluations that mimic A/B tests using data related to existing field experiments are also introduced here.

公开(公告)号：US11038976B2

公开(公告)日：2021-06-15

申请号：US16564768

申请日：2019-09-09

Applicant: Adobe Inc.

Inventor： Xinyue Liu ,  Jun He ,  Zhenyu Yan ,  Wuyang Dai ,  Abhishek Pani

IPC: H04L29/08 ,  G06N3/08 ,  G06N3/04 ,  G06F16/2457

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for determining send times for distributing digital content to client devices utilizing a recommendation system approach. For example, the disclosed systems can utilize a recommendation system model such as a matrix factorization model, a factorization machine model, and/or a neural network to implement collaborative filtering to generate predicted response rates for particular candidate send times. Based on the predicted response rates indicating likelihoods of receiving responses for particular send times, the disclosed system can generate a distribution schedule to provide electronic communications at one or more of the send times.

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.