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:
May. 03, 2011

Filed:

Jun. 29, 2007
Applicants:

Pedrito U. Maynard-zhang, Issaquah, WA (US);

Daniel Lloyd, Mercer Island, WA (US);

Llewellyn J. Mason, Seattle, WA (US);

Samuel A. Minter, Bellevue, WA (US);

Inventors:

Pedrito U. Maynard-Zhang, Issaquah, WA (US);

Daniel Lloyd, Mercer Island, WA (US);

Llewellyn J. Mason, Seattle, WA (US);

Samuel A. Minter, Bellevue, WA (US);

Assignee:

Amazon Technologies, Inc., Reno, NV (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01);
U.S. Cl.
CPC ...
Abstract

A decision tree is provided as a machine learning classifier to predict a user attribute, such as a geographical location of a user, based on a network address. More specifically, the decision tree is constructed via machine learning on a set of sample data that reflects a relationship between a network address and a user attribute of a 'known user' whose profile information is recognizable. For a given network address, the decision tree can be used as a machine learning classifier to predict the most likely user attribute of a potential user. With the predicted attribute, a network service can target a group of potential users for various campaigns without recognizing the identities of the potential users.


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