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. 12, 2017

Filed:

Jan. 11, 2013
Applicant:

Excalibur Ip, Llc, New York, NY (US);

Inventors:

John Canny, Berkeley, CA (US);

Shi Zhonog, Santa Clara, CA (US);

Scott Gaffney, San Francisco, CA (US);

Chad Brower, Campbell, CA (US);

Pavel Berkhin, Sunnyvale, CA (US);

George H. John, Redwood City, CA (US);

Assignee:

EXCALIBUR IP, LLC, New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01); G06N 5/02 (2006.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0251 (2013.01);
Abstract

A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.


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