REVIEWING THE SUITABILITY OF WEBSITES FOR PARTICIPATION IN AN ADVERTISING NETWORK

• US 20100287041A1
• Filed: 07/19/2010
• Published: 11/11/2010
• Est. Priority Date: 06/29/2005
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Kulkarni, Sanjeev, Desikan, Pavan Kumar, Rajaram, Gokul, Phukan, Prasenjit, Portnov, Dmitriy, Ip, Lawrence, James, Timothy
• Granted Patent: US 8,762,204 B2
• Time in Patent Office: Days
• US Class Current: 705/14.4
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0263 based upon Internet or website rating
• CPC Class Codes: G06Q 30/0265 Vehicular advertisement

Abstract

The way in which Websites are reviewed for use in an advertising network may be improved by (a) accepting a collection including one or more documents, (b) determining whether or not the collection complies with policies of an advertising network, and (c) approving the collection if it was determined that the collection complies with the policies. The collection may be added to the advertising network if the collection is approved such that (e.g., content-targeted) advertisements may be served in association with renderings of documents included in the collection. The collection may be a Website including one or more Webpages. The policy may concern (A) content of the one or more documents of the collection, (B) usability of a Website wherein the collection of one or more documents is a Website including one or more Webpages, and/or (C) a possible fraud or deception on the advertising network or participants of the advertising network by the collection.

Claims

1. A computer-implemented method comprising:

a) receiving, by a computer system including at least one computer, a first collection including one or more documents associated with a first request to host advertisements of an advertising network;

b) determining, by the computer system, whether or not the first collection complies with policies of an advertising network, the policies concerning at least one of (A) a source of a collection under review, or (B) usability of the one or more documents of a collection under review;

c) approving, by the computer system, the first collection responsive to a determination that the first collection complies with the policies;

d) processing, by the computer system, the first collection to the advertising network such that advertisements of the advertising network may be served in association with renderings of the one or more documents included in the first collection;

e) receiving, by the computer system, a second collection including one or more documents associated with a second request to host advertisements of an advertising network;

f) determining, by the computer system, whether or not the second collection complies with the policies;

g) disapproving, by the computer system, the second collection responsive to a determination that the second collection does not comply with the policies such that advertisements of the advertising network will not be served in association with renderings of the one or more documents included in the second collection.

2. The computer-implemented method of claim 1 wherein the policies concern a source of a collection under review.

3. The computer-implemented method of claim 2 wherein the act of determining whether or not the first collection complies with the policies of an advertising network include determining at least one of (A) whether or not a source of the first collection is from a blacklisted country, (B) whether or not the source of the first collection has a history of fraud, or (C) whether or not the source of the first collection has been previously removed from the advertising network.

4. The computer-implemented method of claim 2 wherein the act of determining whether or not the first collection complies with the policies of an advertising network include determining a location of a Web server of a source of the first collection.

5. The computer-implemented method of claim 1 wherein the policies concern usability of the one or more documents of a collection under review.

6. The computer-implemented method of claim 5 wherein the first collection is a Website including one or more Webpages, and

wherein the policy includes at least one policy selected from a group of policies consisting of (A) disapproving Websites with Domain Name System (DNS) errors, (B) disapproving offline Websites, (C) disapproving under construction Websites, (D) disapproving Websites with excessive pop-ups, (E) disapproving Websites with excessive pop-unders, (F) disapproving chat Websites, (G) disapproving non-HTML Websites, (H) disapproving spy ware Websites, and (I) disapproving homepage takeover Websites.

7. The computer-implemented method of claim 1 further comprising:

h) scheduling a follow-up determination of whether or not the first collection complies with the policies of the advertising network.

8. The computer-implemented method of claim 1 wherein the first collection including one or more documents is a first Website including one or more Webpages, and wherein the second collection including one or more documents is a second Website including one or more Webpages.

9. The computer-implemented method of claim 1 wherein at least one of the first and second collections includes one or more documents which includes at least one of (A) audio content, or (B) video content.

10. The computer-implemented method of claim 1 wherein at least one of the first and second collections includes one or more documents which includes an online game.

11. A computer-implemented method comprising:

;

a) receiving, by a computer system including at least one computer, a first collection including one or more documents associated with a first request to host advertisements of an advertising network;

b) determining, by the computer system, whether or not the first collection complies with policies of the advertising network, wherein the policies will not be complied with if the one or more documents of the first collection are designed to provide false content relevance information or are designed to induce mistaken manual user selections;

c) approving, by the computer system, the first collection responsive to a determination that the first collection complies with the policies;

d) processing, by the computer system, the first collection to the advertising network such that advertisements of the advertising network may be served in association with renderings of the one or more documents included in the first collection;

e) receiving, by the computer system, a second collection including one or more documents associated with a second request to host advertisements of an advertising network;

f) determining, by the computer system, whether or not the second collection complies with the policies;

g) disapproving, by the computer system, the second collection responsive to a determination that the second collection does not comply with the policies such that advertisements of the advertising network will not be served in association with renderings of the one or more documents included in the second collection.

12. The computer-implemented method of claim 11 further comprising:

h) scheduling a follow-up determination of whether or not the first collection complies with the policies of the advertising network.

13. The computer-implemented method of claim 11 wherein the first collection including one or more documents is a first Website including one or more Webpages, and wherein the second collection including one or more documents is a second Website including one or more Webpages.

14. The computer-implemented method of claim 11 wherein at least one of the first and second collections includes one or more documents which includes at least one of (A) audio content, or (B) video content.

15. The computer-implemented method of claim 11 wherein at least one of the first and second collections includes one or more documents which includes an online game.

16. A computer-implemented method comprising:

a) receiving, by a computer system including at least one computer, a manual list of collections, each of the collections including one or more documents and at least some of the collections having a violation of a given policy of an advertising network;

b) training, by the computer system, an expert system to classify other collections as having the given policy violation or not;

c) receiving, by the computer system, a first collection including one or more documents associated with a first request to host advertisements of an advertising network;

d) determining, by the computer system and using the trained expert system, whether or not the first collection complies with policies of an advertising network;

e) approving, by the computer system, the first collection responsive to a determination by the trained expert system that the first collection complies with the policies;

f) processing, by the computer system, the first collection to the advertising network such that advertisements of the advertising network may be served in association with renderings of the one or more documents included in the first collection;

g) receiving, by the computer system, a second collection including one or more documents associated with a second request to host advertisements of an advertising network;

h) determining, by the computer system and using the trained expert system, whether or not the second collection complies with the policies;

i) disapproving, by the computer system, the second collection responsive to a determination by the trained expert system that the second collection does not comply with the policies such that advertisements of the advertising network will not be served in association with renderings of the one or more documents included in the second collection.

17. The computer-implemented method of claim 16 wherein the expert system is one of (A) a neural network, (B) a Bayesian network, or (C) a support vector machine.

18. The computer-implemented method of claim 16 further comprising:

j) scheduling a follow-up determination of whether or not the first collection complies with the policies of the advertising network.

19. The computer-implemented method of claim 16 wherein the first collection including one or more documents is a first Website including one or more Webpages, and wherein the second collection including one or more documents is a second Website including one or more Webpages.

20. The computer-implemented method of claim 16 wherein at least one of the first and second collections includes one or more documents which includes at least one of (A) audio content, or (B) video content.

21. The computer-implemented method of claim 16 wherein at least one of the first and second collections includes one or more documents which includes an online game.