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.
Patent No.:
Date of Patent:
Feb. 20, 2018
Filed:
Sep. 27, 2007
Ankarino Lara, San Francisco, CA (US);
Scott Bedard, San Francisco, CA (US);
Anthony D. Chen, Santa Monica, CA (US);
Shravan K. Goli, San Jose, CA (US);
Alexei Stoliartchouk, San Francisco, CA (US);
Ankarino Lara, San Francisco, CA (US);
Scott Bedard, San Francisco, CA (US);
Anthony D. Chen, Santa Monica, CA (US);
Shravan K. Goli, San Jose, CA (US);
Alexei Stoliartchouk, San Francisco, CA (US);
Excalibur IP, LLC, New York, NY (US);
Abstract
In another embodiment, a computer-implemented method for processing and optimizing selection of placement, of advertising content related to a brand, in websites of a network is provided. The computer-implemented method is processed by a server in response to communication from a user that is connected to the server over the Internet. The method includes receiving from the user, attributes of an advertisement to be placed on a brand-centric website that relates to the brand, and also receiving selections for types of websites to place the advertisement. The types of websites do not have to be brand-centric websites, but should include content related to the brand. Then, the method includes obtaining metrics from selected websites and historical performance for similar advertisements when placed on the selected websites. The method includes processing the obtained metrics and historical performance to preliminarily define an advertising model. The advertising model defines a score correlated to effectiveness of the advertisement. Optimizing the advertising model is then performed to define a recommended advertising model, where the recommended advertising model defines optimal selections of websites for placement of the advertisement. The optimizing uses multivariable optimization to correlate the obtained metrics to a desired optimization criteria.