SYSTEM AND METHOD FOR DELIVERING ADVERTISING ACCORDING TO SIMILARITIES WITH COLLECTED MEDIA CONTENT

• US 20090292612A1
• Filed: 12/13/2005
• Published: 11/26/2009
• Est. Priority Date: 12/13/2004
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Van de Sluis, Bartel M., Diederiks, Elmo M.A.
• Application Number:
  US11/721,458
• Publication Number:
  US 20090292612A1
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: H04L 65/1101 Session protocols
• CPC Class Codes: H04L 65/764 at the destination reformatting of additional data in video clients H04N21/4355
• CPC Class Codes: H04L 67/53 using third party service providers

Abstract

A system and method for delivering advertising (100) to a user is disclosed. Values for characteristic properties of advertisements and stored media content items are determined (201, 203). A comparison is made between the characteristic values of the advertisements and the stored media content items (205). An advertisement is selected for delivery to the user according to the comparison (207). Individual advertisements and media content items may be compared across some or all characteristics (301), or individual advertisements may be compared to all the media content items for individual characteristics (401). Key characteristics may be identified for which the stored media content items exhibit a strong commonality (500), and comparisons made for only those key characteristics. A Λ virtual'"'"' media content item may be created (603), with characteristic values representative of the stored media content items, and advertisements compared to that Λ virtual'"'"' media content item (605).

Claims

1. A device for delivering media content and advertising to a user (101), comprising:

a media content storage device (107), capable of storing a collection of media content items;

an interface (111), capable of connecting to an advertising server (105) storing a collection of advertisements;

a rendering device (113), capable of delivering said advertisements to said user; and

an advertisement selector (109) coupled to said media content storage device, said interface, and said rendering device, capable of;

determining values for a plurality of characteristics of a plurality of media content items in said collection of media content items,

determining values for a corresponding plurality of characteristics of a plurality of advertisements in said collection of advertisements, and

selecting a one of said plurality of advertisements for delivery to said user via said rendering device,

wherein said advertisement is selected according to a comparison between said determined characteristic values of said media content items and said determined characteristic values of said advertisements.

2. The device according to claim 1, wherein said advertisement selector is further capable of:

forming an advertisement-item similarity measure for each pairing of a one of said advertisements and a one of said media content items; and

selecting said one of said plurality of advertisements according to said advertisement-item similarity measures.

3. The device according to claim 2, wherein said advertisement selector is further capable of forming said advertisement-item similarity measure by

computing a characteristic similarity measure for each of said characteristics, representing a similarity between said value of said advertisement for said characteristic and said value of said media content item for said characteristic, and

combining said characteristic similarity measures to form said advertisement-item similarity measure.

4. The device according to claim 1, wherein said advertisement selector is further capable of:

forming an advertisement-characteristic similarity measure for each of said characteristics of each of said advertisements, representing a similarity between said advertisement and said media content items for said characteristic; and

selecting said one of said plurality of advertisements according to said advertisement-characteristic similarity measures.

5. The device according to claim 4, wherein said advertisement selector is further capable of forming said advertisement-characteristic similarity measure by

computing an item similarity measure for each of said media content items, representing a similarity between said value of said advertisement for said characteristic and said value of said media content item for said characteristic, and

combining said item similarity measures to form said advertisement-characteristic similarity measure.

6. The device according to claim 3, wherein said advertisement selector is further capable of:

computing a characteristic commonality measure for each of said characteristics, representing a similarity between said values of the media content items for said characteristic ;

selecting one or more key characteristics according to said characteristic commonality measures; and

computing said characteristic similarity measures for only said one or more key characteristics.

7. The device according to claim 1, wherein said advertisement selector is further capable of:

determining a composite characteristic value for each characteristic, representing said values of said media content items for said characteristic;

forming a characteristic similarity measure for each of said characteristics of each of said advertisements, representing a similarity between said value of said advertisement for said characteristic and said representative characteristic value for said characteristic; and

selecting said one of said plurality of advertisements according to said characteristic similarity measures.

8. The device according to claim 7, wherein said advertisement selector is further capable of:

forming a composite similarity measure for each of said advertisements by combining said characteristic similarity measures for said advertisement; and

selecting said one of said plurality of advertisements according to said composite similarity measures.

9. A system for delivering advertising to a user (100), comprising:

an advertising server (105) storing a collection of advertisements (115);

a media content storage device (107), capable of storing a collection of media content items (117); and

a media content and advertising delivery device (101) coupled to said advertising server and said media content storage device, comprising a rendering device (113), capable of delivering said advertisements to said user, and a processor (109) operative to

determine values for a plurality of characteristics of a plurality of media content items in said collection of media content items,

determine values for a corresponding plurality of characteristics of a plurality of advertisements in said collection of advertisements, and

deliver to said user via said rendering device a one of said plurality of advertisements according to a comparison between said characteristic values of said media content items and said characteristic values of said advertisements.

10. The system according to claim 9, wherein said processor is further operative to:

form an advertisement-item similarity measure for each pairing of a one of said advertisements and a one of said media content items; and

deliver said one of said plurality of advertisements according to said advertisement-item similarity measures.

11. The system according to claim 10, wherein said processor, in forming said advertisement-item similarity measures, is further operative to:

compute a characteristic similarity measure for each of said characteristics, representing a similarity between said value of said advertisement for said characteristic and said value of said media content item for said characteristic, and

combine said characteristic similarity measures to form said advertisement-item similarity measure.

12. The system according to claim 9, wherein said processor is further operative to:

form an advertisement-characteristic similarity measure for each of said characteristics of each of said advertisements, representing a similarity between said advertisement and said media content items for said characteristic; and

deliver said one of said plurality of advertisements according to said advertisement-characteristic similarity measures.

13. The system according to claim 12, wherein said processor, in forming said advertisement-characteristic similarity measures, is further operative to:

compute an item similarity measure for each of said media content items, representing a similarity between said value of said advertisement for said characteristic and said value of said media content item for said characteristic, and

combine said item similarity measures to form said advertisement-characteristic similarity measure.

14. The system according to claim 11, wherein said processor is further operative to:

compute a characteristic commonality measure for each of said characteristics, representing a similarity between said values of the media content items for said characteristic;

select one or more key characteristics according to said characteristic commonality measures; and

compute said characteristic similarity measures for only said one or more key characteristics.

15. The system according to claim 9, wherein said processor is further operative to:

determine a composite characteristic value for each characteristic, representing said values of said media content items for said characteristic;

form a characteristic similarity measure for each of said characteristics of each of said advertisements, representing a similarity between said value of said advertisement for said characteristic and said representative characteristic value for said characteristic; and

deliver said one of said plurality of advertisements according to said characteristic similarity measures.

16. The system according to claim 15, wherein said processor is further operative to:

form a composite similarity measure for each of said advertisements by combining said characteristic similarity measures for said advertisement; and

deliver said one of said plurality of advertisements according to said composite similarity measures.

17. For use in a media delivery device having access to a collection of media content items and a collection of advertisements, a method for delivering advertisements to a user, comprising the steps of:

determining values (201) for a plurality of characteristics of a plurality of media content items in the collection of media content items;

determining values (203) for a corresponding plurality of characteristics of a plurality of advertisements in the collection of advertisements; and

delivering to the user (207) a one of the plurality of advertisements according to a comparison (205) between the determined characteristic values of the media content items and the determined characteristic values of the advertisements.

18. The method of claim 17, wherein the step of delivering comprises the steps of:

forming an advertisement-item similarity measure for each pairing of a one of the advertisements and a one of the media content items; and

selecting for delivery a one of the advertisements according to the advertisement-item similarity measures.

19. The method of claim 18, wherein the step of forming an advertisement-item similarity measure comprises the steps of:

computing a characteristic similarity measure for each of the characteristics, representing a similarity between the value of the advertisement for the characteristic and the value of the media content item for the characteristic, and

combining the characteristic similarity measures to form the advertisement-item similarity measure.

20. The method of claim 17, wherein the step of delivering comprises the steps of:

forming an advertisement-characteristic similarity measure for each of the characteristics of each of the advertisements, representing a similarity between the advertisement and the media content items for the characteristic; and

selecting for delivery a one of the advertisements according to the advertisement-characteristic similarity measures.

21. The method of claim 20, wherein the step of forming an advertisement-characteristic similarity measure comprises the steps of:

computing an item similarity measure for each of the media content items, representing a similarity between the value of the advertisement for the characteristic and the value of the media content item for the characteristic, and

combining the item similarity measures to form the advertisement-characteristic similarity measure.

22. The method of claim 19, wherein the step of delivering further comprises:

computing a characteristic commonality measure for each of the characteristics, representing a similarity between the values of the media content items for the characteristic; and

selecting one or more key characteristics according to the characteristic commonality measures,

wherein the step of computing characteristic similarity measures computes similarity measures for only the one or more key characteristics.

23. The method of claim 17, wherein the step of delivering comprises:

determining a composite characteristic value for each of the characteristics, representing the values of the media content items for the characteristic;

forming a characteristic similarity measure for each of the characteristics of each of the advertisements, representing a similarity between the value of the advertisement for the characteristic and the representative characteristic value for the characteristic; and

selecting for delivery a one of the advertisements according to the characteristic similarity measures.

24. The method of claim 23, wherein the step of selecting comprises:

forming a composite similarity measure for each of the advertisements by combining the characteristic similarity measures for the advertisement; and

selecting the one of the advertisements according to the composite similarity measures.