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公开(公告)号：US20210157974A1
公开(公告)日：2021-05-27
申请号：US16901656
申请日：2020-06-15
Applicant: salesforce.com, inc.
Inventor： Kexin Xie , Gokhan Cagrici , Daniel Keith Wilson , Shrestha Basu Mallick , Jonathan Daniel Showers Belkowitz , Jason Lestina , James Brewer , Daniel Louis Gasperut , Jeffrey Allen Zickgraf , Greg Lyman , Michael Ronald Brewer , Evan Black , Austin Rauschuber , Victoria Schultz , Matthew David Trepina , Peter Stadlinger
IPC: G06F40/166 , H04L12/58 , G06F40/216 , G06N20/00
Abstract: Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.
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公开(公告)号：US11475207B2
公开(公告)日：2022-10-18
申请号：US16901656
申请日：2020-06-15
Applicant: salesforce.com, inc.
Inventor： Kexin Xie , Gokhan Cagrici , Daniel Keith Wilson , Shrestha Basu Mallick , Jonathan Daniel Showers Belkowitz , Jason Lestina , James Brewer , Daniel Louis Gasperut , Jeffery Allen Zickgraf , Greg Lyman , Michael Ronald Brewer , Evan Black , Austin Rauschuber , Victoria Schultz , Matthew David Trepina , Peter Stadlinger
IPC: G06F40/166 , G06N20/00 , G06F40/216 , H04L51/52
Abstract: Methods, systems, and devices supporting data processing are described. In some systems, a data processing platform may support communication message analysis using machine learning. For example, a system may receive a set of communication messages (e.g., social media messages) and perform a machine learning process on the message contents and message interaction data to train a machine learned model. The system may further receive a subject line for a communication message for analysis, input the subject line into the machine learned model, and receive, as an output of the machine learned model, an engagement score based on the subject line. The engagement score may indicate an estimated probability that a user receiving the communication message opens the communication message (e.g., based on the subject line). A user—or the system—may modify the subject line based on the analysis to improve the engagement score.
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公开(公告)号：US20220198529A1
公开(公告)日：2022-06-23
申请号：US17563874
申请日：2021-12-28
Applicant: salesforce.com, inc.
Inventor： Yuxi Zhang , Kexin Xie , Shrestha Basu Mallick , Darrell Grissen
IPC: G06Q30/02
Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
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公开(公告)号：US10826852B2
公开(公告)日：2020-11-03
申请号：US16177271
申请日：2018-10-31
Applicant: salesforce.com, inc.
Inventor： Zhao Jin , Shrestha Basu Mallick , Yacov Salomon , Kexin Xie , Sheng Loong Su , Todd Swardenski , Trent Albright , Armita Peymandoust , Michael Jones , Brian Brechbuhl , David Yourdon
Abstract: A database server may receive or monitor user engagement metadata corresponding to a plurality of communication messages transmitted to the users. The database server analyzes the metadata to determine optimal transmission frequencies for digital communication messages based on engagement rates received in the user engagement metadata.
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公开(公告)号：US20200322307A1
公开(公告)日：2020-10-08
申请号：US16506773
申请日：2019-07-09
Applicant: salesforce.com, inc.
Inventor： Yuxi Zhang , Kexin Xie , Sheng Loong Su , Shrestha Basu Mallick
Abstract: A cloud platform supports a digital communication system that identifies recommended communication frequencies based on past communication data. The cloud platform may support blending of weights applied to different engagement rates. Based on the weights, the system identifies recommended frequency ranges to maximize engagement rates, including the blended engagement rate using a redistribution simulation process.
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Patent Agency Ranking
公开(公告)号：US11900424B2
公开(公告)日：2024-02-13
申请号：US17563874
申请日：2021-12-28
Applicant: salesforce.com, inc.
Inventor： Yuxi Zhang , Kexin Xie , Shrestha Basu Mallick , Darrell Grissen
IPC: G06Q30/02 , G06Q30/0251 , G06Q30/0201
CPC classification number: G06Q30/0281 , G06Q30/0201 , G06Q30/0271
Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
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公开(公告)号：US11425084B2
公开(公告)日：2022-08-23
申请号：US16506773
申请日：2019-07-09
Applicant: salesforce.com, inc.
Inventor： Yuxi Zhang , Kexin Xie , Sheng Loong Su , Shrestha Basu Mallick
IPC: G06Q30/02 , G06Q10/06 , H04L51/234 , H04L51/52 , H04L51/56
Abstract: A cloud platform supports a digital communication system that identifies recommended communication frequencies based on past communication data. The cloud platform may support blending of weights applied to different engagement rates. Based on the weights, the system identifies recommended frequency ranges to maximize engagement rates, including the blended engagement rate using a redistribution simulation process.
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公开(公告)号：US11210712B2
公开(公告)日：2021-12-28
申请号：US16520556
申请日：2019-07-24
Applicant: salesforce.com, inc.
Inventor： Yuxi Zhang , Kexin Xie , Shrestha Basu Mallick , Darrell Grissen
IPC: G06Q30/02
Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
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公开(公告)号：US20210027338A1
公开(公告)日：2021-01-28
申请号：US16520556
申请日：2019-07-24
Applicant: salesforce.com, inc.
Inventor： Yuxi Zhang , Kexin Xie , Shrestha Basu Mallick , Darrell Grissen
IPC: G06Q30/02
Abstract: A system can recommend a next action for a user. A memory can store user data corresponding to the user and can include historic interaction points. A behavior pattern can be identified based on two or more interaction points stored in the user data. An intent of the user based on the behavior pattern can be identified. The intent can be based on a previous behavior pattern of another user. Several probabilities that the user will meet one or more objectives can be determined based on the intent. The probabilities can be scored using and used to assign a policy to the first user. A next action can be recommended based on the policy and executed with respect to the user. The outcome of the recommended next action can be stored to the user data.
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公开(公告)号：US20200137008A1
公开(公告)日：2020-04-30
申请号：US16177271
申请日：2018-10-31
Applicant: salesforce.com, Inc.
Inventor： Zhao Jin , Shrestha Basu Mallick , Yacov Salomon , Kexin Xie , Sheng Loong Su , Todd Swardenski , Trent Albright , Armita Peymandoust , Michael Jones , Brian Brechbuhl , David Yourdon
Abstract: A database server may receive or monitor user engagement metadata corresponding to a plurality of communication messages transmitted to the users. The database server analyzes the metadata to determine optimal transmission frequencies for digital communication messages based on engagement rates received in the user engagement metadata.
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