首页> 外国专利> Navigating hierarchical components based on an expansion recommendation machine learning model

Navigating hierarchical components based on an expansion recommendation machine learning model

机译:基于扩展推荐机学习模型导航分层组件

摘要

A natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. The operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
机译:自然语言(NL)应用程序实现功能,使用户能够更有效地基于NL请求访问各种数据存储系统。 NL应用程序的操作至少部分地在一个或多个模板和/或机器学习模型上引导。 有利地,模板和/或机器学习模型提供了一种灵活的框架,可以容易地定制以减少与处理NL请求相关联的时间和用户的量,并提高NL应用实现的总体精度。

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