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SEARCH INTENTION RECOGNITION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

机译:搜索意图识别方法和装置,电子设备和可读存储介质

摘要

A search intention recognition method and apparatus, and an electronic device and a readable storage medium, which relate to the technical field of computers. The method comprises: acquiring a user log related to a training keyword (S101); determining expansion factors of the training keyword based on the user log and existing system object information, wherein the expansion factors comprise at least one of the following: probability distribution of a topic on the training keyword, probability distribution of the existing system object information on the topic, probability distribution of the training keyword and an existing keyword on a topic dimensionality, and probability distribution of the training keyword and the existing system object information on the topic dimensionality (S102); using the training keyword and the expansion factors to train a machine learning model, so as to obtain an intention recognition model (S103); and using the intention recognition model to recognize a search intention of a user (S104). According to the method, a lightweight original training sample can be used to obtain a relatively precise intention recognition classification model, thereby saving on cost, and improving the accuracy of searches.
机译:搜索意图识别方法和装置,以及电子设备和可读存储介质,涉及计算机技术领域。该方法包括:获取与训练关键词相关的用户日志(S101);基于用户日志和现有系统对象信息确定训练关键词的扩展因子,其中,所述扩展因子包括以下至少之一:所述训练关键词上主题的概率分布;所述关键词上现有系统对象信息的概率分布。主题,关于主题维度的训练关键词和现有关键词的概率分布,以及关于主题维度的训练关键词和现有系统对象信息的概率分布(S102);使用训练关键词和扩展因子训练机器学习模型,以获得意图识别模型(S103);使用意图识别模型来识别用户的搜索意图(S104)。根据该方法,可以使用轻量级的原始训练样本来获得相对精确的意图识别分类模型,从而节省成本,并提高搜索的准确性。

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