ADVERTISER AD REVIEW

• US 20090063229A1
• Filed: 05/15/2008
• Published: 03/05/2009
• Est. Priority Date: 08/30/2007
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Gil, Elad, Jaeger, Juliana, Taylor, Karen Padham, Coladonato, Greg
• Granted Patent: US 8,392,246 B2
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0245 Surveys
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

A review for a content publisher is received, the content publisher publishing content to which advertisements are targeted over a distribution network. An aggregated approval score for the content publisher is generated based on the received review and other reviews for the content publisher. The aggregated approval score is provide to an advertiser. An indication to accept or reject the targeting of the advertisements to the publisher content is received, the indication being received after providing the aggregated approval score to the advertiser.

Claims

1. A computer-implemented method, comprising:

receiving a review for a content publisher, the content publisher publishing content to which advertisements are targeted over a distribution network;

generating an aggregated approval score for the content publisher based on the received review and other reviews for the content publisher;

providing the aggregated approval score to an advertiser; and

receiving, from the advertiser, an indication to accept or reject the targeting of the advertisements to the publisher content, the indication being received after providing the aggregated approval score to the advertiser.

2. The method of claim 1, wherein the received review reflects a basis for an approval of the content publisher.

3. The method of claim 1, wherein the received review reflects a basis for an objection to the content publisher.

4. The method of claim 1, wherein the generating comprises weighting the received review and the other reviews.

5. The method of claim 4, wherein the weighting comprises weighting the received or other reviews based on revenue associated with advertisers.

6. The method of claim 4, wherein the weighting comprises weighting the received or other reviews based on categories.

7. The method of claim 1, further comprising:

presenting to advertisers an expected earning associated with targeting an advertisement to the content publisher.

8. The method of claim 7, wherein the received review or other reviews are based on the expected earning.

9. The method of claim 7, wherein the received indication to accept or reject the targeting of the advertisements to the publisher content is based on the expected earning.

10. The method of claim 1, wherein receiving an indication to accept or reject the targeting of the advertisements to the publisher content comprises:

receiving an automated decision from a network, the automated decision based on approval rules.

11. The method of claim 1, further comprising:

targeting the advertisements to the publisher content based on the received indication to accept or reject the targeting of the advertisements to the publisher content.

12. A computer-implemented method, comprising:

receiving an advertisement targeting request from an advertisement distribution network, the targeting request including information associated with content available from an online content publisher;

identifying relevant advertisements to target to the content based on the targeting request, the identified advertisements being associated with online advertisers;

applying approval decision filtering to the identified relevant advertisements, the approval decision filtering reflecting approval decisions to accept or reject advertisements for presentation with the content, the approval decisions being received from the advertisers after providing aggregated ratings of the online content publisher to the advertisers; and

serving the identified relevant advertisements to the content based on results of the approval decision filtering.

13. The method of claim 12, wherein applying approval decision filtering comprises accessing a stored whitelist of approved online content publishers.

14. The method of claim 12, wherein applying approval decision filtering comprises accessing a stored blacklist of rejected online content publishers.

15. The method of claim 12, wherein applying approval decision filtering comprises blocking the serving of an identified relevant advertisement to the content.

16. The method of claim 12, wherein receiving an advertisement targeting request comprises receiving information associated with a requested web page available from the online content publisher.

17. The method of claim 12, wherein identifying relevant advertisements comprises accessing a database storing online advertisements.

18. A system, comprising:

means for receiving a review for a content publisher, the content publisher publishing content to which advertisements are targeted over a distribution network;

means for generating an aggregated approval score for the content publisher based on the received review and other reviews for the content publisher;

means for providing the aggregated approval score to an advertiser; and

means for receiving, from the advertiser, an indication to accept or reject the targeting of the advertisements to the publisher content, the indication being received after providing the aggregated approval score to the advertiser.

19. A system comprising an advertisement management system, the advertisement management system configured to:

receive a review for a content publisher, the content publisher publishing content to which advertisements are targeted over a distribution network;

generate an aggregated approval score for the content publisher based on the received review and other reviews for the content publisher;

provide the aggregated approval score to an advertiser; and

receive, from the advertiser, an indication to accept or reject the targeting of the advertisements to the publisher content, the indication being received after providing the aggregated approval score to the advertiser.

20. A computer readable medium storing a computer program, the computer program including instructions that, when executed, cause at least one processor to:

receive a review for a content publisher, the content publisher publishing content to which advertisements are targeted over a distribution network;

generate an aggregated approval score for the content publisher based on the received review and other reviews for the content publisher;

provide the aggregated approval score to an advertiser; and

receive, from the advertiser, an indication to accept or reject the targeting of the advertisements to the publisher content, the indication being received after providing the aggregated approval score to the advertiser.