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:
Jun. 14, 2022

Filed:

Jul. 11, 2018
Applicant:

Cognant Llc, Mountain View, CA (US);

Inventors:

Heng Wang, San Jose, CA (US);

Arun Kejariwal, Fremont, CA (US);

James Koh, Mountain View, CA (US);

Ishan Upadhyaya, San Carlos, CA (US);

Owen S. Vallis, Santa Clara, CA (US);

Assignee:

Cognant LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 7/04 (2006.01); G06F 11/34 (2006.01); H04L 9/40 (2022.01); G06F 21/10 (2013.01); G06F 21/55 (2013.01);
U.S. Cl.
CPC ...
G06F 11/3438 (2013.01); G06F 21/10 (2013.01); G06F 21/552 (2013.01); H04L 63/1425 (2013.01);
Abstract

A method, a system, and an article are provided for detecting and managing anomalies associated with content presentations. An example computer-implemented method can include: obtaining a stream of data including a record of clicks on a plurality of client devices; aggregating the stream of data to generate a batch click stream for each of the client devices; processing the stream of data using a real-time anomaly detector to detect a first anomaly indicating that at least one of the client devices was previously associated with fraudulent clicks; processing each batch click stream using a batch anomaly detector to detect a second anomaly indicating that at least one of the batch click streams includes fraudulent clicks; and facilitating an adjustment of content presentations on the client devices, based on at least one of the detected first anomaly and the detected second anomaly.


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