Capital one services, llc (20240311409). SYSTEMS AND METHODS BUILDING TIERED REQUEST-RESPONSE COMMUNICATIONS USING PROBABILITY-BASED SELECTIONS simplified abstract
Contents
- 1 SYSTEMS AND METHODS BUILDING TIERED REQUEST-RESPONSE COMMUNICATIONS USING PROBABILITY-BASED SELECTIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS BUILDING TIERED REQUEST-RESPONSE COMMUNICATIONS USING PROBABILITY-BASED SELECTIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
SYSTEMS AND METHODS BUILDING TIERED REQUEST-RESPONSE COMMUNICATIONS USING PROBABILITY-BASED SELECTIONS
Organization Name
Inventor(s)
Patrick Jones of McLean VA (US)
SYSTEMS AND METHODS BUILDING TIERED REQUEST-RESPONSE COMMUNICATIONS USING PROBABILITY-BASED SELECTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240311409 titled 'SYSTEMS AND METHODS BUILDING TIERED REQUEST-RESPONSE COMMUNICATIONS USING PROBABILITY-BASED SELECTIONS
Simplified Explanation
The patent application describes methods and systems for building tiered request-response communications using probability-based selections. This involves using machine learning and/or artificial intelligence to generate tiers of communication with subsets of user input fields that are crucial for completing the communication.
Key Features and Innovation
- Utilizes machine learning and artificial intelligence to create tiered request-response communications.
- Probability-based selections are used to determine the subsets of user input fields needed for each tier.
- The subset of user input fields is dispositive for completing the communication.
- Enhances efficiency and accuracy in communication processes.
Potential Applications
The technology can be applied in various industries such as customer service, healthcare, and finance for streamlining communication processes. It can be used in chatbots, automated response systems, and virtual assistants to improve user interactions.
Problems Solved
Addresses the challenge of efficiently managing and responding to user requests in a tiered communication system. Improves the accuracy of responses by focusing on essential user input fields.
Benefits
Enhances communication efficiency and accuracy. Reduces the time and resources required to complete tiered request-response communications. Improves user experience by providing more tailored and relevant responses.
Commercial Applications
- Customer service automation in various industries.
- Healthcare communication systems for patient inquiries.
- Financial services for automated responses to client queries.
Questions about the Technology
How does the technology determine the subsets of user input fields needed for each tier?
The technology uses probability-based selections and machine learning algorithms to analyze and identify the essential user input fields for each tier.
What are the potential drawbacks of using machine learning and artificial intelligence in tiered request-response communications?
Some potential drawbacks include the need for continuous training and updates to maintain accuracy, as well as potential biases in the algorithms used.
Original Abstract Submitted
methods and systems building tiered request-response communications using probability-based selections. for example, the methods and systems may use machine learning and/or artificial intelligence to generate a tier of a tiered request-response communications with a subset of user input fields and/or tiers, in which the subset is dispositive for completing the tiered request-response communication.
