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MACHINE-LEARNING BASED DATA OBJECT RETRIEVAL

机译:基于机器学习的数据对象检索

摘要

An information management system is provided herein that uses machine learning to predict what data to recall from a secondary storage device and/or when to perform the recall. For example, a media agent in the information management system can generate and store context information when data recall requests are received from a client computing device, using the context information to train a recall machine learning model. The recall machine learning model may be trained such that the model predicts what data to recall and/or when to perform the recall. The media agent and/or the client computing device can then be configured to use the trained recall machine learning model to determine which data to recall and/or when to perform the recall.
机译:本文中提供了一种信息管理系统,该信息管理系统使用机器学习来预测要从辅助存储设备调用哪些数据和/或何时执行调用。例如,当从客户端计算设备接收到数据撤回请求时,信息管理系统中的媒体代理可以使用上下文信息来训练召回机器学习模型,从而生成并存储上下文信息。可以训练召回机器学习模型,使得该模型预测要召回的数据和/或何时执行召回。然后,可以将媒体代理和/或客户端计算设备配置为使用经过训练的召回机器学习模型来确定要召回哪些数据和/或何时执行召回。

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