Robotics & Machine Learning Daily News2024,Issue(Jun.10) :154-157.

Patent Application Titled 'System And Method For Generating A Closed Domain Conv ersation' Published Online (USPTO 20240169984)

在线公布的名为“生成封闭域Conv的系统和方法”的专利申请(USPTO 20240169984)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :154-157.

Patent Application Titled 'System And Method For Generating A Closed Domain Conv ersation' Published Online (USPTO 20240169984)

在线公布的名为“生成封闭域Conv的系统和方法”的专利申请(USPTO 20240169984)

扫码查看

摘要

报告者从发明人提供的背景信息中获得了以下引文:本公开的“技术领域”实施例通常涉及封闭域对话,更具体地说,“闭域会话是允许用户通过文本、语音、音频、视频等与多个应用程序、多个网站和多个设备进行交互的会话类型,闭域会话利用多种技术来处理和上下文化用户输入以响应用户,目前,闭域会话已被用于企业,以创造个性化的客户体验,企业不断开发各种闭域会话来与客户进行交互,尽管各种闭域会话日益出现,更多的研究仍在继续开发闭域会话,这使得用户能够进行最稳定的交互,从而改善用户的会话体验。

Abstract

Reporters obtained the following quote from the background information supplied by the inventors: “ “Technical Field “Embodiments of this disclosure generally relate to a closed domain conversation , and more particularly, to a system and a method for generating the closed doma in conversation with a user in real-time based on user’s interest. “Description of the Related Art “Closed domain conversation is a type of conversation that allows a user to inte ract with a plurality of applications, a plurality of websites, and a plurality of devices, etc. via text, voice, audio, video, etc. The closed domain conversat ion uses a plurality of technologies to process and contextualize user input to respond to the user. Nowadays, the closed domain conversation has been used for businesses in order to create personalized customer experiences. Companies conti nue to develop a variety of closed domain conversations to interact with custome rs. Though a variety of closed domain conversation emerges day by day, more rese arch are still going on to develop the closed domain conversation that enables f astest user interaction which in turn improves the user’s conversational experie nce.

Key words

Emerging Technologies/Machine Learning/Patent Application/Robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文