17933258. VIRTUAL INTERVIEW SYSTEM USING MACHINE LEARNING MODELS simplified abstract (Capital One Services, LLC)
Contents
- 1 VIRTUAL INTERVIEW SYSTEM USING MACHINE LEARNING MODELS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VIRTUAL INTERVIEW SYSTEM USING MACHINE LEARNING MODELS - 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 How does the system ensure the privacy and security of candidate data during the interview process?
- 1.11 What is the accuracy rate of the recommendations made by the system based on historical response data?
- 1.12 Original Abstract Submitted
VIRTUAL INTERVIEW SYSTEM USING MACHINE LEARNING MODELS
Organization Name
Inventor(s)
Matthew Nowak of Midlothian VA (US)
Mohamed Seck of Aubrey TX (US)
Louis Buell of Chevy Chase MD (US)
VIRTUAL INTERVIEW SYSTEM USING MACHINE LEARNING MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17933258 titled 'VIRTUAL INTERVIEW SYSTEM USING MACHINE LEARNING MODELS
Simplified Explanation
The system described in the patent application receives resume data and uses it to generate interview questions for candidates. The system also analyzes responses to these questions, including video feeds, to make recommendations based on historical data.
- The system receives resume data associated with a candidate's resume.
- It identifies resume attributes from the resume data.
- Interview questions are determined based on the resume attributes.
- The system transmits the interview questions to an interview device.
- Responses to interview questions are received from the interview device, including video feeds.
- Response attributes are identified from the response data.
- Recommendations are made based on the response attributes and historical response data.
Potential Applications
This technology could be applied in recruitment processes, job interviews, and candidate screening.
Problems Solved
This technology streamlines the interview process, helps identify top candidates, and provides data-driven recommendations for hiring decisions.
Benefits
The system saves time and resources by automating parts of the interview process, improves the quality of candidate selection, and provides valuable insights for decision-making.
Potential Commercial Applications
One potential commercial application of this technology could be in human resources software for companies looking to optimize their recruitment processes.
Possible Prior Art
One possible prior art for this technology could be video interviewing platforms that assist in conducting remote interviews and analyzing candidate responses.
Unanswered Questions
How does the system ensure the privacy and security of candidate data during the interview process?
The patent application does not provide details on the measures taken to protect candidate data during the interview process. It would be important to understand the encryption methods used, data storage protocols, and access controls to address privacy and security concerns.
What is the accuracy rate of the recommendations made by the system based on historical response data?
The patent application does not mention the accuracy rate of the recommendations generated by the system. It would be valuable to know the success rate of these recommendations in predicting successful candidates and improving hiring outcomes.
Original Abstract Submitted
In some implementations described herein, a system may receive resume data associated with a resume of a candidate. The system may identify, from the resume data, one or more resume attributes. The system may determine interview questions based on the resume attribute(s). The system may transmit, to an interview device, the interview questions. An interview question may be transmitted after receiving a response to a preceding interview question. The system may receive, from the interview device, response data corresponding to responses to the interview questions. For a particular response, the response data may include a video feed from the interview device of the candidate providing the particular response. The system may identify, from the response data, one or more response attributes. The system may determine, based on the response attribute(s) and historical response data associated with historical responses, a recommendation associated with the candidate.
