18063101. VIRTUAL CAREER MENTOR THAT CONSIDERS SKILLS AND TRAJECTORY simplified abstract (International Business Machines Corporation)
Contents
VIRTUAL CAREER MENTOR THAT CONSIDERS SKILLS AND TRAJECTORY
Organization Name
International Business Machines Corporation
Inventor(s)
Fearghal O'donncha of Aran Islands (IE)
VIRTUAL CAREER MENTOR THAT CONSIDERS SKILLS AND TRAJECTORY - A simplified explanation of the abstract
This abstract first appeared for US patent application 18063101 titled 'VIRTUAL CAREER MENTOR THAT CONSIDERS SKILLS AND TRAJECTORY
The patent application describes a virtual assistant career mentor that offers personalized career recommendations to users based on their desired positions.
- Processor identifies user's desired position for personalized career recommendation
- Compares user profile to marketplace profile for desired position to identify gaps
- Assigns user tasks to address identified gaps in user profile
- Generates performance score using reinforcement learning model
- Updates user profile with performance score
- Generates recommendation using machine learning, including actions and timeline to achieve desired position
Potential Applications: - Career counseling services - Human resources management tools - Educational platforms for career development
Problems Solved: - Lack of personalized career guidance - Difficulty in identifying and addressing career advancement gaps - Inefficient career planning and goal setting
Benefits: - Tailored career recommendations - Improved user profile matching - Enhanced career progression strategies
Commercial Applications: - Virtual career coaching services for individuals and organizations - Integration into job search platforms for personalized job recommendations - Inclusion in educational programs for career planning and development
Questions about the technology: 1. How does the virtual assistant determine the tasks to address the identified gaps in the user profile? 2. What machine learning algorithms are used to generate personalized career recommendations?
Original Abstract Submitted
In an approach for a virtual assistant career mentor that provides a user with personalized career recommendations, a processor identifies a position a user wishes to achieve in a request for a personalized career recommendation. A processor compares a user profile of the user to a marketplace profile for the position to determine whether there are one or more gaps in the user profile that would prevent the user from achieving the position. Responsive to determining there is a gap in the user profile, a processor assigns the user a task to address the gap in the user profile. A processor generates a performance score using a reinforcement learning model. Responsive to updating the user profile with the performance score, a processor generates a recommendation using machine learning, wherein the recommendation includes a series of actions the user may take to achieve the position identified and an appropriate timeline.
