首页> 外国专利> ENHANCED SIMILARITY DETECTION BETWEEN DATA SETS WITH UNKNOWN PRIOR FEATURES USING MACHINE-LEARNING

ENHANCED SIMILARITY DETECTION BETWEEN DATA SETS WITH UNKNOWN PRIOR FEATURES USING MACHINE-LEARNING

机译:使用机器学习的未知先前功能的数据集之间的增强相似度检测

摘要

The present disclosure relates to systems and methods for using machine-learning techniques to detect similar features between data sets. More particularly, the present disclosure relates to systems and methods that learn feature patterns within at least two data sets using machine-learning techniques to determine similarities between clusters of users in a scalable and computationally efficient manner.
机译:本公开涉及用于使用机器学习技术来检测数据集之间的类似特征的系统和方法。更具体地,本公开涉及使用机器学习技术在至少两个数据集中学习特征模式的系统和方法,以确定用户的簇之间以可扩展和计算有效的方式。

著录项

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