Image-Content Matching Based on Image Context and Referrer Data

• US 20130325600A1
• Filed: 06/01/2012
• Published: 12/05/2013
• Est. Priority Date: 06/01/2012
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Luminate, Inc. (Apollo Global Management, Inc.)
• Inventors: Everingham, James R., McCreavy, Michael A.
• Application Number:
  US13/486,628
• Publication Number:
  US 20130325600A1
• Time in Patent Office: Days
• US Class Current: 705/14.49
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Disclosed herein are computer-implement systems and methods for identifying and matching contextually relevant content (e.g., advertisements, text, images, videos, etc.) to images published on digital content platforms (e.g., webpages, mobile applications, etc.). In general, embodiments of the present invention include: (a) receiving an image published on a digital content platform; (b) receiving referrer data from the digital content platform; (c) submitting the image and the referrer data to an image-content matching engine to (1) identify the context of the image and (2) identify contextually relevant content based on the context of the image and the referrer data; and (d) providing the contextually relevant content to the digital content platform for publication proximate to the image.

Claims

1. A method for providing a contextually relevant advertisements proximate to an image published on a digital content platform, the method comprising:

providing a publisher with a reference script for publication with an image on a digital content platform, wherein the reference script is a computer-readable instruction that causes an end-user device that is directed to the digital content platform with the image to send data to a service provider processing unit, and wherein the data includes (1) image identification data, and (2) referrer data associated with the directing of the end-user device to the digital content platform with the image; and

configuring a service provider processing unit to perform the steps of

(a) receiving the data from a publisher,

(b) submitting the data to an image-content matching engine, wherein the image identification data and the referrer data are used to match a contextually relevant advertisement to the image, and

(c) providing the contextually relevant advertisement to the end-user device for publication proximate to the image on the digital content platform.

2. The method of claim 1, wherein the image identification data includes an image uniform resource locator (URL).

3. The method of claim 1, wherein the image identification data includes an image file.

4. The method of claim 1, wherein the referrer data includes a search string submitted by the end-user in order to be referred to the digital content platform.

5. The method of claim 1, wherein the referrer data includes identification of a search engine that has referred the end-user to the digital content platform.

6. The method of claim 5, wherein the referrer data includes a search string entered by end-user at the search engine prior to being referred to the digital content platform.

7. The method of claim 1, wherein the referrer data includes a search string.

8. The method of claim 1, wherein the referrer data includes an HTTP referer.

9. The method of claim 1, wherein the image-content matching engine includes a crowdsourcing network.

10. The method of claim 1, wherein the image-content matching engine includes an image recognition engine.

11. The method of claim 1, wherein the contextually relevant advertisement is provided in the form of an ad creative.

12. The method of claim 1, wherein the contextually relevant advertisement includes a hyperlink to a merchant'"'"'s website.

13. The method of claim 1, wherein the image data further includes image constants, and wherein the image constants are also used by the image-content matching engine to match the contextually relevant advertisement to the image.

14. The method of claim 1, wherein the image data further includes a publisher hint string, and wherein the publisher hint string is also used by the image-content matching engine to match the contextually relevant advertisement to the image.

15. The method of claim 1, wherein the image data further includes publisher data, and wherein the publisher data is also used by the image-content matching engine to match the contextually relevant advertisement to the image.

16. A computer-implemented method for providing content that is contextually relevant to an image published on a digital content platform, the method comprising a service provider processing unit performing the steps of:

(a) receiving an image published on a digital content platform;

(b) receiving referrer data associated with a directing of an end-user device to the digital content platform with the image;

(c) submitting the image and the referrer data to an image-content matching engine to (1) identify the context of the image and (2) identify contextually relevant content based on the context of the image and the referrer data; and

(d) providing the contextually relevant content to the digital content platform for publication proximate to the image.

17. The method of claim 16, wherein the referrer data includes a search string submitted by the end-user in order to be referred to the digital content platform.

18. The method of claim 16, wherein the referrer data includes identification of a search engine that has referred the end-user to the digital content platform.

19. The method of claim 18, wherein the referrer data includes a search string entered by end-user at the search engine prior to being referred to the digital content platform.

20. The method of claim 16, wherein the referrer data includes a search string.

21. The method of claim 16, wherein the referrer data includes an HTTP referer.

22. The method of claim 16, wherein the image identification data includes an image uniform resource locator (URL).

23. The method of claim 16, wherein the image identification data includes an image file.

24. The method of claim 16, wherein the image-content matching engine includes a crowdsourcing network.

25. The method of claim 16, wherein the image-content matching engine includes an image recognition engine.

26. The method of claim 16, wherein step (b) further includes receiving image constants;

and step (c) further includes the image-content matching engine identifying contextually relevant content based on the image constants.

27. The method of claim 16, wherein step (b) further includes receiving a publisher hint string;

and step (c) further includes the image-content matching engine identifying contextually relevant content based on the publisher hint string.

28. The method of claim 16, wherein step (b) further includes receiving publisher data;

and step (c) further includes the image-content matching engine identifying contextually relevant content based on the publisher data.

29. The method of claim 16, wherein the contextually relevant content is an ad creative.

30. The method of claim 16, wherein the contextually relevant content includes a hyperlink to a merchant'"'"'s website.