首页> 外国专利> NATURAL CLASSIFICATION OF CONTENT USING UNSUPERVISED LEARNING

NATURAL CLASSIFICATION OF CONTENT USING UNSUPERVISED LEARNING

机译:使用未经监督的学习对内容进行自然分类

摘要

Rating a plurality of digital content items accessible via a network based on consumer interest, including continuously at predetermined intervals identifying a plurality of digital content items discoverable via the network and having dynamic characteristics of temporal behavior of an active conversation; grouping the identified plurality of digital content items into a plurality of event centers, each including one or more word cliques focused on a shared event, each word clique consisting of a unique plurality of words identified in a subset of a plurality of digital content items; rating the event center identified during an initial calculation of the predetermined intervals in accordance with a known value of subject matter related to the shared event; and subsequently, rating the digital content items comprising the one or more word cliques of the event center by correcting the rating set during the initial calculation based on gain and loss in an amount of the plurality of digital content items related to the shared event.
机译:根据消费者的兴趣对可通过网络访问的多个数字内容项进行评级,包括以预定的间隔连续地识别可通过网络发现的具有活跃对话的时间行为的动态特征的多个数字内容项;将所标识的多个数字内容项分组为多个事件中心,每个事件中心包括一个或多个专注于共享事件的单词组,每个单词组由在多个数字内容项的子集中标识的唯一的多个单词组成;根据与共享事件有关的主题的已知值,对在预定间隔的初始计算期间识别出的事件中心进行评级;随后,通过基于与共享事件有关的多个数字内容项的数量的获利和损失,在初始计算过程中校正设置的评级,对包括事件中心的一个或多个单词群的数字内容项进行评级。

著录项

  • 公开/公告号US2017177590A1

    专利类型

  • 公开/公告日2017-06-22

    原文格式PDF

  • 申请/专利权人 QBEATS INC.;

    申请/专利号US201615381204

  • 发明设计人 BORIS AKSELRUD;

    申请日2016-12-16

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 13:50:21

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号