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Methods and apparatus for clustering news online content based on content freshness and quality of content source

机译:基于内容新鲜度和内容源质量对新闻在线内容进行聚类的方法和装置

摘要

Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sources corresponding to the documents within the cluster. In one embodiment, the invention may identify the source; detect a plurality of documents published by the source; analyze the plurality of documents with respect to at least one parameter, and determine a source score for the source in response, in part, to the parameter. In another embodiment, the invention may identify a topic; identify a plurality of clusters in response to the topic; analyze at least one parameter corresponding to each of the plurality of clusters; and calculate a cluster score for each of the plurality of clusters in response, in part, to the parameter.
机译:描述了用于部分地响应于与文档,源和/或聚类得分有关的参数来对文档评分的方法和装置。还描述了用于部分地响应与集群内的文档有关的参数和/或与集群内的文档相对应的源来对集群评分的方法和装置。在一实施例中,本发明可以标识出源。检测源发布的多个文档;针对至少一个参数分析多个文档,并部分地响应于该参数来确定源的源得分。在另一个实施例中,本发明可以识别主题。响应于主题识别多个集群;分析与多个集群中的每个集群相对应的至少一个参数;并部分地响应于参数,为多个聚类中的每一个计算聚类得分。

著录项

  • 公开/公告号US10095752B1

    专利类型

  • 公开/公告日2018-10-09

    原文格式PDF

  • 申请/专利权人 GOOGLE INC.;

    申请/专利号US201615145486

  • 申请日2016-05-03

  • 分类号G06F17/30;H04L29/08;

  • 国家 US

  • 入库时间 2022-08-21 13:03:40

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