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SYSTEM AND METHOD FOR CONTEXT BASED DEEP KNOWLEDGE TRACING

机译:基于上下文的深度知识跟踪的系统和方法

摘要

A method and system for training a user comprising detecting, by a neural network, a relationship pair comprising a question previously answered by the user and the score for the previously answered question, detecting context information associated with the question previously answered, the context information representing conditions occurring at the time the user previously answered the question, determining a probability that the user will successfully answer a subsequent question selected from potential questions based on the detected relationship pair and the detected context information associated with the question previously answered by the user; and selecting questions to be answered by the user based on the determined probability.
机译:一种用于训练用户的方法和系统,包括:通过神经网络检测包括用户先前回答的问题和先前回答的问题的分数的关系对,检测与先前回答的问题相关联的上下文信息,所述上下文信息表示在用户先前回答问题时发生的条件,基于检测到的关系对和与用户先前回答的问题相关联的上下文信息,确定用户将成功回答从潜在问题中选择的后续问题的概率;根据确定的概率选择用户要回答的问题。

著录项

  • 公开/公告号US20200202226A1

    专利类型

  • 公开/公告日2020-06-25

    原文格式PDF

  • 申请/专利权人

    申请/专利号US16227767

  • 发明设计人 Koki NAGATANI;Francine Chen;Yin-Ying Chen;

    申请日2018-12-20

  • 分类号

  • 国家 US

  • 入库时间 2022-08-21 10:58:09

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