The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 06, 2024

Filed:

Jul. 24, 2020
Applicant:

Amperity, Inc., Seattle, WA (US);

Inventors:

Yan Yan, Seattle, WA (US);

Aria Haghighi, Seattle, WA (US);

Nicholas Resnick, Seattle, WA (US);

Andrew Lim, Seattle, WA (US);

Assignee:

AMPERITY, INC., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06Q 30/0201 (2023.01); G06F 16/24 (2019.01); G06N 20/00 (2019.01); G06F 16/23 (2019.01); G06Q 30/01 (2023.01); G06Q 30/0202 (2023.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/2379 (2019.01); G06F 16/24 (2019.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01); G06Q 30/01 (2013.01); G06Q 30/0202 (2013.01);
Abstract

Disclosed are techniques for generating features to train a predictive model to predict a customer lifetime value or churn rate. In one embodiment, a method is disclosed comprising receiving a record that includes a plurality of fields and selecting a value associated with a selected field in the plurality of fields. The method then queries a lookup table comprising a mapping of values to aggregated statistics using the value and receives an aggregated statistic based on the querying. Next, the method generates a feature vector by annotating the record with the aggregated statistic. The method uses this feature vector as an input to a predictive model.


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