电子邮件分类

With the release of Slack Connect, people can now collaborate both with internal employees and external organizations in the same channel. To make this as smooth as possible, Slack does predictive email analysis to classify and recommend the best way for a user to work with people they want to collaborate with. To accomplish this, we need a way to accurately predict whether an invited email address is an internal employee or an external collaborator.

随着Slack Connect的发布，人们现在可以在同一频道中与内部员工和外部组织进行协作。为了使这一过程尽可能顺利，Slack做了预测性的电子邮件分析，对用户与他们想合作的人进行分类并推荐最佳方式。为了实现这一目标，我们需要一种方法来准确预测一个被邀请的电子邮件地址是内部员工还是外部合作者。

Email Classification is a system we’ve designed to help make these smart predictions.

邮件分类是我们设计的一个系统，帮助进行这些智能预测。

Predicting Slack Connect invites

预测Slack Connect的邀请

With Slack, people can start collaborating with each other using one of two invite mechanisms:

通过Slack，人们可以使用两种邀请机制中的一种开始相互协作。

Workspace Invites: They become a full member or guest in your workspace
工作区邀请。他们成为你工作区的正式成员或客人
Slack Connect Invites: They connect through a Slack Connect DM or Shared Channel
Slack Connect的邀请。他们通过Slack Connect DM或共享频道进行连接

When someone begins the invite process they typically enter an email address of the person they’d like to invite. The email classification engine must determine if each given email address is an internal team member or an external organization or user. If they are classified as an external email, we suggest a collaboration through a Slack Connect channel or as a guest part of your workspace.

当有人开始邀请过程时，他们通常会输入一个他们想邀请的人的电子邮件地址。电子邮件分类引擎必须确定每个给定的电子邮件地址是内部团队成员还是外部组织或用户。如果他们被归类为外部电子邮件，我们建议通过Slack Connect频道或作为你工作区的客人部分进行合作。

User enters an email address into the email classification engine which suggests either the slack connect invite flow or a workspace invite fllow.

Classification engine

分类引擎

With a provided email address, our classification engine must make a smart prediction to classify the token as an internal user or an external user.

通过提供的电子邮件地址，我们的分类引擎必须进行智能预测，将令牌分类为内部用户或外部用户。

The engine uses several data sources to make its classification determination, here are some examples:

该引擎使用几个数据源来进行分类判断，以下是一些例子。

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