Invention Grant
US08533132B2 Systems and methods for implementing a machine-learning agent to retrieve information in response to a message
有权
用于实现机器学习代理以响应于消息来检索信息的系统和方法
- Patent Title: Systems and methods for implementing a machine-learning agent to retrieve information in response to a message
- Patent Title (中): 用于实现机器学习代理以响应于消息来检索信息的系统和方法
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Application No.: US12841714Application Date: 2010-07-22
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Publication No.: US08533132B2Publication Date: 2013-09-10
- Inventor: John Zimmerman , Anthony Tomasic , Ian Hargraves
- Applicant: John Zimmerman , Anthony Tomasic , Ian Hargraves
- Applicant Address: US PA Pittsburgh
- Assignee: Carnegie Mellon University
- Current Assignee: Carnegie Mellon University
- Current Assignee Address: US PA Pittsburgh
- Agency: Downs Rachlin Martin PLLC
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
Mixed-initiative message-augmenting agent systems and methods that provide users with tools that allow them to respond to messages, such as email messages, containing requests for information or otherwise requiring responses that require information that needs to be retrieved from one or more data sources. The systems and methods allow users to train machine-learning agents how to retrieve and present information in responses to like messages so that the machine-learning agents can eventually automatedly generate responses with minimal involvement by the users. Embodiments of the systems and methods allow users to build message-augmenting forms containing the desired information for responding to messages and to demonstrate to the machine-learning agents where to retrieve pertinent information for populating the forms. Embodiments of the systems and methods allow users to modify and repair automatically generated forms to continually improve the knowledge of the machine-learning agents.
Public/Granted literature
Information query