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A SYSTEM FOR TRACKING USER KNOWLEDGE BASED ON ARTIFICIAL INTELLIGENCE LEARNING AND METHOD THEREOF

机译:一种基于人工智能学习及其方法跟踪用户知识的系统

摘要

The present specification provides a user knowledge tracking method of a user knowledge tracking system, comprising: inputting problem information to a kth encoder neural network, and generating attention information based on the problem information; inputting response information to a kth decoder neural network, and generating query data, which is information about a problem for which a user wants to predict a correct probability, based on the response information; and wherein the attention information is divided into a key and a value value, and is used as a weight for the query data to learn the user knowledge tracking system, wherein the user knowledge tracking system includes a plurality of encoder neural networks and a plurality of decoders. It may include a neural network.
机译:本说明书提供了用户知识跟踪系统的用户知识跟踪方法,包括:将问题信息输入到Kth编码器神经网络,并基于问题信息生成注意信息; 将响应信息输入到kth解码器神经网络,并生成查询数据,这是关于用户想要预测正确概率的问题的信息; 并且其中注意信息被划分为键和值值,并且用作查询数据的权重,以了解用户知识跟踪系统,其中用户知识跟踪系统包括多个编码器神经网络和多个编码器神经网络 解码器。 它可以包括神经网络。

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