Patent · US Active

Intrusive feature classification model

US7991710B2 · kind B2 · utility

15Cited by

3References

19Claims

0Family size

Assignee

Google LLC · US

Inventors

Mark Palatucci · San Francisco, US
Panayiotis Mavrommatis · Mountain View, US
Niels Provos · Mountain View, US
Christopher K. Monson · Swissvale, US
Yunkai Zhou · Los Altos, US
Kamal P. Nigam · Pittsburgh, US
Clayton Woodward Bavor, Jr. · San Francisco, US
Eric L. Davis · San Jose, US
Rachel Nakauchi · Yelm, US

Key dates

Filing date	Mar 3, 2008
Grant date	Aug 2, 2011
Priority date	—
Expiry date	Oct 6, 2029

Classification

Technology area (CPC G)Physics
CPC primaryG06F2221/2119
WIPO fieldDigital communication
WIPO sectorElectrical engineering

Abstract

Landing pages associated with advertisements are partitioned into training landing pages and testing landing pages. Iterative training and testing of a classification mode on intrusion features of the partitioned landing pages is conducted until the occurrence of a cessation event. Feature weights are derived from the iterative training and testing, and are associated with the intrusion features. The associated feature weights and intrusion features can be used to classify other landing pages.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.