Method and device for updating model of online system

A method and a device for updating a model of an online system are provided. The method comprises: capturing data from an online system and forming a data set; obtaining annotation information of thedata in the data set; adding annotated data to a training set, to train to obtain a new model. Thus, the method and the device can capture the data from the online system to form an incremental data set, labelling the data in the data set, and adding the labeled data to the training set, so that the training set can be used for training to generate the new model, and is used for updating the modelof the online system. The method and the device can facilitate update iterations of the model in the online system based on deep learning. 本发明提供了种用于对线上系统的模型进行更新的方法和装置。该方法包括：从线上系统抓取数据，并形成数据集；获取对所述数据集中的数据的标注信息；将标注后的数据添加至训练集，以便训练得到新的模型。由此可见，本发明实施例能够从线上系统抓取数据形成增量数据集，并对其中的数据进行标注，标注后的数据被添加至训练集，进而该训练集能够用于训练生成新的模型，用于实现对线上系统的模型的更新。本发明实施例所提供的方法和装置能够便于对基于深度学习的线上系统中模型的更新迭代。