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METHOD AND APPARATUS FOR TRAINING SEARCH MODEL, AND METHOD AND APPARATUS FOR SEARCHING FOR TARGET OBJECT

机译:用于训练搜索模型的方法和装置,以及用于搜索目标对象的方法和装置

摘要

Embodiments of the present disclosure relate to a method for training a search model, a method for searching a target object, and an apparatus therefor, and to the field of machine learning. The method includes obtaining a first sample data set for training a search model based on sample query information. The method may further include determining additional query information associated with the sample query information based on the pre-built knowledge base. Also, the method may further include obtaining a second sample data set for training the search model based on the additional query information, the second sample data set being different from the first sample data set. Also, the method may further include training the search model based on the sample query information, the first sample data set and the second sample data set. The technical solution of the present disclosure completes training of a search model quickly, efficiently, and inexpensively, so that an object relatively related to user query information can be determined.
机译:本公开的实施例涉及一种用于训练搜索模型的方法,用于搜索目标对象的方法,以及其的设备,以及机器学习领域。该方法包括获取基于样本查询信息训练搜索模型的第一样本数据集。该方法还可以包括基于预构建的知识库确定与样本查询信息相关联的附加查询信息。而且,该方法还可以包括基于附加查询信息获得用于训练搜索模型的第二样本数据集,第二个样本数据集与第一样本数据集不同。此外,该方法还可以包括基于样本查询信息,第一样本数据集和第二示例数据集训练搜索模型。本公开的技术方案完成了快速,有效地且廉价地对搜索模型进行训练,从而可以确定与用户查询信息相对相关的对象。

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