Inferring consumer affinities based on shopping behaviors with unsupervised machine learning models

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United States of America

PATENT NO 11238473
APP PUB NO 20200160363A1
SERIAL NO

16533489

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Abstract

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Provided is a process of discovering psychographic segments of consumers with unsupervised machine learning, the process including: obtaining a first set of consumer-behavior records; converting the first set of consumer-behavior records into respective consumer-behavior vectors; determining psychographic segments of consumers by training an unsupervised machine learning model with the first set of consumer-behavior vectors; obtaining a second set of consumer-behavior records after determining the psychographic segments of consumers; converting the second set of consumer-behavior records into respective consumer-behavior vectors; classifying the second set of consumer-behavior vectors as each belonging to at least a respective one of psychographic segments with the trained machine learning model; and predicting based on the classification a likelihood of the respective consumer engaging in behavior associated with a corresponding one of the psychographic segments.

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Patent Owner(s)

  • PLACEIQ, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
McCall, Duncan Greenwhich, US 26 797
Milton, Stephen Lyons, US 31 874

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