Abstract
This disclosure describes a method to integrate machine learning model inference results and user feedback. The method enables the identification of patterns and discrepancies, reducing the impact of confirmation bias. By leveraging the insights derived from integrated data analysis and machine learning model inferences, feedback questions can be crafted in a data-driven manner. These questions will be designed to elicit genuine, unbiased responses from users, focusing on their real interactions and issues.
Creative Commons License
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Recommended Citation
INC, HP, "Model-based Feedback Collection", Technical Disclosure Commons, (March 01, 2024)
https://www.tdcommons.org/dpubs_series/6727
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