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DETERMINING EMPLOYMENT TYPE BASED ON MULTIPLE FEATURES

机译:基于多种特征的就业类型确定

摘要

Methods, systems, and computer programs are presented for determining the employment type of online-service members and the generation of employment reports. One method includes training a machine learning program (MLP) for categorizing employment type, for title and company, as field or full-time-corporate. The full-time-corporate category is for full-time corporate employees. For each employee title in a first company, the method includes accessing data for members of an online service having the title and employed by the first company, and determining, by the trained MLP, the employment type for the title and the first company based on the accessed data. Further, the method includes operations for providing a user interface for generating an employment report for the first company, the user interface including one or more options for filtering data based on the employment type, and for presenting the employment report on the user interface.
机译:介绍了用于确定在线服务成员的雇佣类型和雇佣报告生成的方法,系统和计算机程序。一种方法包括训练机器学习程序(MLP),以将职务类型(职称和公司)分类为现场或全职公司。全职企业类别适用于全职公司雇员。对于第一公司中的每个雇员头衔,该方法包括访问具有该头衔并由第一公司雇用的在线服务的成员的数据,以及由受过训练的MLP根据以下信息确定该头衔和第一公司的雇用类型访问的数据。此外,该方法包括以下操作:提供用于生成用于第一公司的雇佣报告的用户界面,该用户界面包括一个或多个选项,用于基于雇佣类型来过滤数据,以及用于在用户界面上呈现雇佣报告。

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