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    • 10. 发明申请
    • METHOD AND APPARATUS TO BUILD A COMMON CLASSIFICATION SYSTEM ACROSS MULTIPLE CONTENT ENTITIES
    • 构建多个内容实体的通用分类系统的方法和装置
    • US20150324459A1
    • 2015-11-12
    • US14274189
    • 2014-05-09
    • Chegg, Inc.
    • Charmy ChhichhiaPaul Chris SriVincent Le Chevalier
    • G06F17/30G06N7/02G06N99/00
    • G06N20/00G06F16/35G06F16/353G06F16/93G06N7/02
    • A content classification system classifies documents of a plurality of content entities into a hierarchical discipline structure. The content classification system receives a set of taxonomic labels collectively defining a hierarchical taxonomy and a plurality of documents. Each document is associated with one of the content entities. The content classification system extracts features from the received documents. A learned model is generated for assigning taxonomic labels to documents associated with a representative content entity using the features extracted from documents associated with the representative content entity. The content classification system assigns one or more taxonomic labels to each document of the other content entities using the learned model applied to the features extracted from the respective document. The documents of the plurality of content entities are classified based on the assigned taxonomic labels.
    • 内容分类系统将多个内容实体的文档分类为分级纪律结构。 内容分类系统接收一组共同定义分级分类和多个文档的分类标签。 每个文档都与一个内容实体相关联。 内容分类系统从接收到的文档中提取特征。 生成学习模型,用于使用从与代表性内容实体相关联的文档中提取的特征将分类标签分配给与代表性内容实体相关联的文档。 内容分类系统使用应用于从相应文档提取的特征的学习模型向其他内容实体的每个文档分配一个或多个分类标签。 基于所分配的分类标签对多个内容实体的文档进行分类。