公开(公告)号：US20250117825A1

公开(公告)日：2025-04-10

申请号：US18984253

申请日：2024-12-17

Applicant: Twilio Inc.

Inventor： Claire Electra Longo ,  Brendon Kyle Villalobos ,  Liyuan Zhang ,  Jorge Chang ,  Elizabeth Yee ,  Abhishek Bambha

IPC: G06Q30/0251

Abstract: An example method of message routing includes: receiving a request to send a message to a specified user of a plurality of users of a communication services platform; providing a user profile of the specified user to a send time optimization model, wherein the user profile characterizes actions of one or more predefined action types that were performed by the specified user in response to receiving previous communications; identifying, based on the output of the send time optimization model, a preferred time range for communicating with the specified user; and causing, within the preferred time range, a message to be sent to the specified user.

公开(公告)号：US20210374802A1

公开(公告)日：2021-12-02

申请号：US16999848

申请日：2020-08-21

Applicant: Twilio Inc.

Inventor： Claire Electra Longo ,  Brendon Kyle Villalobos ,  Liyuan Zhang ,  Jorge Chang ,  Elizabeth Yee ,  Abhishek Bambha

IPC: G06Q30/02 ,  G06F16/23 ,  G06N20/00

Abstract: Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. One method includes an operation for training a machine-learning program to generate a frequency model that determines a frequency for sending communications to users. The training utilizes training data defined by features related to user information and responses of users to previous communications to the users. The method further includes determining, by the frequency model and based on information about a first user, a first frequency for the first user. The first frequency identifies the number of communications to transmit to the first user per period of time. Further, the method includes operations for receiving a communication request to send one or more communications to the first user and determining send times for the one or more communications to the first user based on the first frequency. The communications are sent at the determined send times.

公开(公告)号：US11720919B2

公开(公告)日：2023-08-08

申请号：US16999848

申请日：2020-08-21

Applicant: Twilio Inc.

Inventor： Claire Electra Longo ,  Brendon Kyle Villalobos ,  Liyuan Zhang ,  Jorge Chang ,  Elizabeth Yee ,  Abhishek Bambha

IPC: G06Q30/02 ,  G06N20/00 ,  G06F16/23 ,  G06Q30/0251 ,  G06Q30/0241

CPC classification number: G06Q30/0254 ,  G06F16/2379 ,  G06N20/00 ,  G06Q30/0255 ,  G06Q30/0264 ,  G06Q30/0267 ,  G06Q30/0277

Abstract: Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. One method includes an operation for training a machine-learning program to generate a frequency model that determines a frequency for sending communications to users. The training utilizes training data defined by features related to user information and responses of users to previous communications to the users. The method further includes determining, by the frequency model and based on information about a first user, a first frequency for the first user. The first frequency identifies the number of communications to transmit to the first user per period of time. Further, the method includes operations for receiving a communication request to send one or more communications to the first user and determining send times for the one or more communications to the first user based on the first frequency. The communications are sent at the determined send times.

公开(公告)号：US20230206280A1

公开(公告)日：2023-06-29

申请号：US18115931

申请日：2023-03-01

Applicant: Twilio Inc.

Inventor： Claire Electra Longo ,  Brendon Kyle Villalobos ,  Liyuan Zhang ,  Jorge Chang ,  Elizabeth Yee ,  Abhishek Bambha

IPC: G06Q30/0251 ,  G06N20/00 ,  G06F16/23

CPC classification number: G06Q30/0254 ,  G06Q30/0264 ,  G06N20/00 ,  G06F16/2379 ,  G06Q30/0255 ,  G06Q30/0277

Abstract: Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. One method includes an operation for training a machine-learning program to generate a frequency model that determines a frequency for sending communications to users. The training utilizes training data defined by features related to user information and responses of users to previous communications to the users. The method further includes determining, by the frequency model and based on information about a first user, a first frequency for the first user. The first frequency identifies the number of communications to transmit to the first user per period of time. Further, the method includes operations for receiving a communication request to send one or more communications to the first user and determining send times for the one or more communications to the first user based on the first frequency. The communications are sent at the determined send times.

公开(公告)号：US11625751B2

公开(公告)日：2023-04-11

申请号：US16999810

申请日：2020-08-21

Applicant: Twilio Inc.

Inventor： Claire Electra Longo ,  Brendon Kyle Villalobos ,  Liyuan Zhang ,  Jorge Chang ,  Elizabeth Yee ,  Abhishek Bambha

IPC: G06Q30/02 ,  G06Q30/0251 ,  G06N20/00 ,  G06F16/23 ,  G06Q30/0241

Abstract: Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. Send Time Optimization (STO) uses machine learning (ML) to recommend a personalized send time based on a recipient's past engagement patterns. The purpose of the ML model is to learn patterns in the data automatically and use the patterns to make personalized predictions for each recipient. The send time recommended by the model is the time at which the model believes the recipient will be most likely to engage with the message, such as clicking or opening, and use of the send time mode is expected to increase engagement from recipients. Additional customizations include communication-frequency optimization, communication-channel selection, and engagement-scoring model.

公开(公告)号：US20210374801A1

公开(公告)日：2021-12-02

申请号：US16999810

申请日：2020-08-21

Applicant: Twilio Inc.

Inventor： Claire Electra Longo ,  Brendon Kyle Villalobos ,  Liyuan Zhang ,  Jorge Chang ,  Elizabeth Yee ,  Abhishek Bambha

IPC: G06Q30/02 ,  G06N20/00

Abstract: Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. Send Time Optimization (STO) uses machine learning (ML) to recommend a personalized send time based on a recipient's past engagement patterns. The purpose of the ML model is to learn patterns in the data automatically and use the patterns to make personalized predictions for each recipient. The send time recommended by the model is the time at which the model believes the recipient will be most likely to engage with the message, such as clicking or opening, and use of the send time mode is expected to increase engagement from recipients. Additional customizations include communication-frequency optimization, communication-channel selection, and engagement-scoring model.

公开(公告)号：US20250124468A1

公开(公告)日：2025-04-17

申请号：US18984244

申请日：2024-12-17

Applicant: Twilio Inc.

Inventor： Claire Electra Longo ,  Brendon Kyle Villalobos ,  Liyuan Zhang ,  Jorge Chang ,  Elizabeth Yee ,  Abhishek Bambha

IPC: G06Q30/0251 ,  G06F16/23 ,  G06N20/00 ,  G06Q30/0241

Abstract: An example method of message routing includes: receiving, by one or more processors, a request to send a message to a specified user of a plurality of users of a communication services platform; providing a user profile of the specified user to a communication channel selection model, wherein the user profile characterizes actions of one or more predefined action types that were performed by the specified user in response to receiving previous communications; identifying, based on the output of the communication channel selection model, a preferred communication channel for communicating with the specified user; determining, based on the preferred communication channel, a communication strategy for the specified user; and causing, pursuant to the communication strategy, a message to be sent to the specified user.