公开(公告)号：US09104972B1

公开(公告)日：2015-08-11

申请号：US14223632

申请日：2014-03-24

Applicant: Google Inc.

Inventor： Dmitry Korolev ,  Hartmut Maennel

IPC: G06F17/30 ,  G06N5/04 ,  G06N99/00

CPC classification number: G06N5/048 ,  G06F17/30707 ,  G06N99/005

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying resources using scores from multiple classifiers. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving identifying a collection of documents to classify; receiving a plurality of classifiers for scoring a document with respect to a specified property; for each document in the collection, applying each of the plurality of classifiers, each classifier generating a score associated with a likelihood that the document has the specified property, combining the scores from each classifier including applying a multiple classifier model that uses monotonic regression to combine the plurality of classifiers, and classifying the document as having the specified property based on the combined score.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于使用来自多个分类器的分数来分类资源。 通常，本说明书中描述的主题的一个方面可以体现在包括接收标识要归类的文档集合的动作的方法中; 接收多个分类器，用于相对于指定属性对文档进行评分; 对于集合中的每个文档，应用多个分类器中的每一个，每个分类器生成与文档具有指定属性的可能性相关联的分数，组合来自每个分类器的分数，包括应用使用单调回归的多个分类器模型来组合 多个分类器，并且基于组合分数将文档分类为具有指定的属性。