System and method for color paint selection and acquisition
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United States of America Patent
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Mar 21, 2017
Grant Date -
Aug 11, 2016
app pub date -
Jul 6, 2015
filing date -
Feb 10, 2015
priority date (Note) -
In Force
status (Latency Note)
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Abstract
A method for paint color recommendation. The method obtains measures of an environment to be painted and trains a learned model to input data received from customers including data representing each customer's initial color paint and pigment selection, and one or more of: a customer perceptual, a customer context, and environment measure (P/C/E data) to generate a sparse matrix. One or more paint vendors may then use the generated sparse matrix to determine a color pigment recommendation from a pigments color space for a customer. From a user selected color/pigment, and using the learned model, the method maps the selection, together with the user's P/C/E data back to the color/pigments space. User feedback representing a degree of satisfaction that the recommended color pigment applied to the user environment has matched the user's initial color paint and color pigment selection is elicited.
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Family
International Classification(s)
Cited Art Landscape
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