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:
Sep. 28, 2021

Filed:

Dec. 23, 2019
Applicant:

Xad, Inc., New York, NY (US);

Inventors:

Can Liang, Sunnyvale, CA (US);

Yilin Chen, Sunnyvale, CA (US);

Jingqi Huang, Santa Clara, CA (US);

Shun Jiang, Sunnyvale, CA (US);

Amit Goswami, Campbell, CA (US);

Assignee:

xAd, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 4/021 (2018.01); H04L 29/08 (2006.01); G06N 20/00 (2019.01); G06F 16/29 (2019.01);
U.S. Cl.
CPC ...
H04W 4/021 (2013.01); G06F 16/29 (2019.01); G06N 20/00 (2019.01); H04L 67/18 (2013.01);
Abstract

A system includes a machine learning module configured to train a location prediction model using features constructed from mobile device data with time stamps in a training time period, and labels extracted from mobile device data with time stamps in a training time frame. The system further includes a prediction module configured apply the prediction model to a feature set constructed using mobile device data associated with a mobile device with time stamps in a prediction time period to obtain a prediction result corresponding to the mobile device. The system further includes a calibration module configured to obtain a calibration model corresponding to an information campaign, and a calibrated prediction module configured to apply the calibration model to the prediction result to obtain a calibrated probability for the mobile device to have at least one location event at any of one or more locations associated with the information campaign during a prediction time frame.


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