公开(公告)号：US11258751B2

公开(公告)日：2022-02-22

申请号：US16888315

申请日：2020-05-29

Applicant: Slack Technologies, Inc.

Inventor： Adam Oliner ,  Renaud Bourassa-Denis ,  Zhifeng Deng ,  Leigh Ann Johnson ,  Alexander Nicholas Johnson ,  Aaron Maurer

IPC: H04L12/58 ,  H04L51/56 ,  G06F16/9535 ,  G06F16/9538

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. Embeddings may be generated to characterize a user's interactions with a communication platform and/or characterize a channel and the embeddings may be used to expose methods of communicating with the user and/or over the channel.

公开(公告)号：US11297030B2

公开(公告)日：2022-04-05

申请号：US16888315

申请日：2020-05-29

Applicant: Slack Technologies, Inc.

Inventor： Adam Oliner ,  Renaud Bourassa-Denis ,  Zhifeng Deng ,  Leigh Ann Johnson ,  Alexander Nicholas Johnson ,  Aaron Maurer

IPC: H04L12/58 ,  H04L51/56 ,  G06F16/9535 ,  G06F16/9538

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. Embeddings may be generated to characterize a user's interactions with a communication platform and/or characterize a channel and the embeddings may be used to expose methods of communicating with the user and/or over the channel.

公开(公告)号：US20220308981A1

公开(公告)日：2022-09-29

申请号：US17213707

申请日：2021-03-26

Applicant: Slack Technologies, Inc.

Inventor： Jenna Zeigen ,  Natalie Qabazard ,  Anuj Nair ,  Aaron Maurer ,  Yiling Chen

IPC: G06F11/34 ,  G06N20/00

Abstract: Media, methods, and systems are disclosed for optimizing performance of a running application in connection with a group-based communication system. Log data is collected regarding prior metrics for applications that have encountered performance events. Application state information is monitored and a machine-learning model mapping application metrics to performance outcomes predicts whether the running application will encounter a performance event. The machine-learning model mapping application metrics to performance outcomes is trained based on the collected logs. Based on whether a degradation outcome will be impactful, an application performance parameter may be degraded.

公开(公告)号：US20210352039A1

公开(公告)日：2021-11-11

申请号：US16888315

申请日：2020-05-29

Applicant: Slack Technologies, Inc.

Inventor： Adam Oliner ,  Renaud Bourassa-Denis ,  Zhifeng Deng ,  Leigh Ann Johnson ,  Alexander Nicholas Johnson ,  Aaron Maurer

IPC: H04L12/58 ,  G06F16/9538 ,  G06F16/9535

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. Embeddings may be generated to characterize a user's interactions with a communication platform and/or characterize a channel and the embeddings may be used to expose methods of communicating with the user and/or over the channel.

公开(公告)号：US20210352038A1

公开(公告)日：2021-11-11

申请号：US16875933

申请日：2020-05-15

Applicant: Slack Technologies, Inc.

Inventor： Adam Oliner ,  Renaud Bourassa-Denis ,  Zhifeng Deng ,  Leigh Ann Johnson ,  Alexander Nicholas Johnson ,  Aaron Maurer

IPC: H04L12/58 ,  G06F16/9538 ,  G06F16/9535

Abstract: Discovery of communication platform features or exposure of such features to the user may include generating embeddings for a variety of types of communication platform content and communications. These embeddings may be used to characterize and compare various communication platform features and ultimately expose these features to a user when the user may not have otherwise encountered them. The embeddings may additionally or alternatively be used to determine a degree of alignment

公开(公告)号：US11620173B2

公开(公告)日：2023-04-04

申请号：US17213707

申请日：2021-03-26

Applicant: Slack Technologies, Inc.

Inventor： Jenna Zeigen ,  Natalie Qabazard ,  Anuj Nair ,  Aaron Maurer ,  Yiling Chen

IPC: G06F11/00 ,  G06F11/34 ,  G06N20/00

Abstract: Media, methods, and systems are disclosed for optimizing performance of a running application in connection with a group-based communication system. Log data is collected regarding prior metrics for applications that have encountered performance events. Application state information is monitored and a machine-learning model mapping application metrics to performance outcomes predicts whether the running application will encounter a performance event. The machine-learning model mapping application metrics to performance outcomes is trained based on the collected logs. Based on whether a degradation outcome will be impactful, an application performance parameter may be degraded.