17963330. SYSTEM FOR MACHINE LEARNING BASED NETWORK SESSION INTERACTION simplified abstract (Bank of America Corporation)
Contents
- 1 SYSTEM FOR MACHINE LEARNING BASED NETWORK SESSION INTERACTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM FOR MACHINE LEARNING BASED NETWORK SESSION INTERACTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEM FOR MACHINE LEARNING BASED NETWORK SESSION INTERACTION
Organization Name
Inventor(s)
Indradeep Dantuluri of Harrisburg NC (US)
Pavan Chayanam of Alamo CA (US)
SYSTEM FOR MACHINE LEARNING BASED NETWORK SESSION INTERACTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17963330 titled 'SYSTEM FOR MACHINE LEARNING BASED NETWORK SESSION INTERACTION
Simplified Explanation
The patent application describes a system for machine learning based network session interaction, where natural language data is received from an end-point device, attributes are extracted, adaptive response actions are determined using machine learning, and executed.
- The system receives user input in natural language from an end-point device.
- It extracts a set of attributes associated with the user input.
- Using a machine learning subsystem, it determines adaptive response actions based on the attributes.
- The system then executes the adaptive response actions.
Potential Applications
This technology could be applied in customer service chatbots, virtual assistants, and automated helpdesk systems.
Problems Solved
This technology streamlines the interaction process between users and machines, providing more efficient and personalized responses based on natural language inputs.
Benefits
The system allows for more natural and intuitive interactions with machines, improving user experience and efficiency in communication.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of AI-powered customer service chatbots for businesses.
Possible Prior Art
One possible prior art for this technology could be existing machine learning systems for natural language processing and response generation in chatbots.
Unanswered Questions
How does the system handle ambiguous or unclear user inputs?
The system's ability to handle ambiguous or unclear user inputs could impact the accuracy and effectiveness of its adaptive response actions.
How does the system ensure data privacy and security when processing user inputs?
Ensuring data privacy and security is crucial when dealing with sensitive user information in natural language inputs.
Original Abstract Submitted
Systems, computer program products, and methods are described herein for machine learning based network session interaction. The present disclosure is configured to receive, from an end-point device, a user input, wherein the user input comprises natural language data; extract a first set of attributes associated with the user input; determine, using a machine learning (ML) subsystem, a first set of adaptive response actions to the user input based on the first set of attributes; and execute the first set of adaptive response actions.
