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INTELLIGENTLY IDENTIFYING THE MOST KNOWLEDGABLE PERSON BASED ON MULTIPLE DATA SOURCE INPUTS

机译:基于多个数据源输入智能地识别最知识的人

摘要

The present disclosure is directed toward systems and methods that efficiently and effectively identify experts relative to a key topic within an organization. For example, systems and methods described herein can receive an expert assistance query from a user looking for an expert associated with a particular topic. Systems and methods described herein can further apply a trained expert selection model to a key topic extracted from the received expert assistance query. In response to receiving an identified expert from the expert selection model, systems and methods can further identify and provide information associated with the identified expert such as the expert's contact information, the expert's team information, and other data (e.g., documents, emails, communications) authored by the expert in association with the key topic.
机译:本公开涉及有效且有效地识别相对于组织内的关键话题的专家的系统和方法。 例如,本文描述的系统和方法可以从用户寻找与特定主题相关联的专家的用户接收专家辅助查询。 这里描述的系统和方法可以进一步将培训的专家选择模型应用于从所接收的专家辅助查询中提取的关键主题。 响应于从专家选择模型接收所识别的专家,系统和方法可以进一步识别和提供与所识别的专家相关联的信息,例如专家的联系信息,专家的团队信息和其他数据(例如,文档,电子邮件,通信 )专家与关键主题一起撰写。

著录项

  • 公开/公告号US2021382893A1

    专利类型

  • 公开/公告日2021-12-09

    原文格式PDF

  • 申请/专利权人 DROPBOX INC.;

    申请/专利号US202016895559

  • 发明设计人 MADAN KUMAR;SRAVAN MANTHA;NEERAJ KUMAR;

    申请日2020-06-08

  • 分类号G06F16/2453;G06F16/23;G06N5/04;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 22:42:50

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