Methods for augmenting user-generated content using a monetizable feature

• US 8,655,718 B2
• Filed: 12/18/2007
• Issued: 02/18/2014
• Est. Priority Date: 12/18/2007
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Athsani, Athellina, Higgins, Chris, O'Sullivan, Joseph, Davis, Marc, Martinez, Ron
• Primary Examiner(s): Kyle, Charles
• Assistant Examiner(s): Chencinski, Siegfried E
• Application Number:
  US11/959,217
• Publication Number:
  US 20090157450A1
• Time in Patent Office: 2,254 Days
• Field of Search: 705/14, 705/80, 705/26, 709/217, 725/60
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: G06Q 30/0276 Advertisement creation
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

A system for monetization of content includes a storage device for storage and retrieval of data, and a library of content and advertisements stored within the storage device. The library comprises an organizational structure for facilitating the storage and retrieval. The system also includes a monetization engine for identifying within the library a first content item having a first monetizable feature. The system is configured for selecting a second content item from several content items within the library, and associating the second content item to the first content item by using the first monetizable feature for presentation of the second content item in conjunction with the first content item. Further embodiments include various additional systems, methods, and computer readable media for implementation of the foregoing.

Claims

1. A computer implemented method comprising:

accessing, by a computer, a library, wherein the library comprises a plurality of content items, a plurality of advertisements, and an organizational structure for facilitating storage and retrieval of the content items and the advertisements;

identifying, by the computer, from among the plurality of content items within the library, a first content item comprising an image;

identifying a plurality of monetizable features for the first content item, wherein each monetizable feature comprises;

a surface area within the first content item, the surface area identified using an image recognition technique, the surface area is for use in overlaying an advertisement onto the surface area within the first content item, wherein the surface area meets a minimum threshold of appropriateness factors to display the advertisement;

displaying a plurality of monetization options for each of at least one of the surface areas of the monetizable features identified for the first content item, the plurality of monetization options for a monetizable feature'"'"'s surface area identifying options for selecting from advertisements of the plurality of advertisements available for overlaying onto the monetizable feature'"'"'s surface area within the first content item, the monetization options for each of the at least one of the surface areas comprises a plurality of options representing at least one different available advertisement;

selecting, by the computer, at least one advertisement by selecting from among the displayed monetization options;

formatting, by the computer, the selected advertisement for placement within the surface area; and

generating, by the computer, a composite content item comprising the first content item and the selected advertisement wherein the selected advertisement is associated with the first content item using the monetizable feature of the first content item.

2. The computer implemented method of claim 1, the method further comprising:

presenting the selected advertisement in conjunction with the first content item; and

tracking user interactions for the presentation of the selected advertisement.

3. The computer implemented method of claim 1, the method further comprising:

receiving at least one of the first content item and selected advertisement, thereby generating a received content item; and

storing the received content item within the organizational structure of the library.

4. The computer implemented method of claim 1, the method further comprising:

calculating a revenue sharing value for the first monetizable feature of the first content item; and

presenting the revenue sharing value to the user.

5. The computer implemented method of claim 1, wherein a second content item has a cost associated with presentation of the second content item, the method further comprising:

determining the cost of using the second content item;

selectively presenting the cost to a user of the system;

charging the user for the use of the second content item; and

distributing the revenue from the use to an owner of the second content item.

6. The computer implemented method of claim 1, wherein the first content item comprises user generated content and the selected advertisement comprises one or more of a static advertisement, a dynamic advertisement, an implicit advertisement, and an explicit advertisement.

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

identifying insertion points for the marker; and

placing the marker with one or more insertion points, wherein the placing is optionally by user request or by system automation.

8. The computer implemented method of claim 1, the method further comprising setting a plurality of insertion points, including dynamic run-time markers for on-the-fly advertising insertion at a time of presentation of content.

9. The computer implemented method of claim 1, the method further comprising generating an interface for interacting with the library, the interactions with the library comprising operations to edit, search, sort, and combine content and advertisements stored within the library with selected content and advertisements, the interface comprising a graphical user interface having drag and drop functionality for the placement of one or more of the selected advertisement, a marker, and an insertion point, in relation to the first content item.

10. The computer implemented method of claim 1, wherein said identifying is executed in response to a command received from a user and wherein the user comprises one or more of an advertiser, an operator, a publisher, an owner of content, a producer, a consumer of content, and a user who shares, distributes, or uploads content, the system further comprising one or more features of a self serve application and an automated system for selecting and associating the selected advertisement with the first content item, for users of the system.

11. The computer implemented method of claim 1, the method further comprising:

receiving an advertising campaign for an advertiser, and

receiving an advertiser payment offer and associated ad copy for the presentation of the advertiser'"'"'s content including advertisements in conjunction with specific content.

12. The computer implemented method of claim 1, the method further comprising selectively billing and paying users of the system for qualifying interactions with the composite content item.

13. The computer implemented method of claim 1, wherein the generating a composite content item comprising the first content item and the selected advertisement comprises embedding the selected advertisement within the first content item.

14. The computer implemented method of claim 1, the method further comprising generating a user interface for layering user generated content and ad copy.

15. The computer implemented method of claim 1, the method further comprising modifying an advertising copy or financial terms of use of content and advertising such that higher rated content items receive higher valuation.

16. The computer implemented method of claim 1, further comprising:

receiving from advertisers requests for user generated content (UGC) and for users of the system to search and select data from among the advertisers.

17. The computer implemented method of claim 1, wherein generating a composite content item comprising the first content item and the selected advertisement performed automatically based upon collaborative filtering of related past performances for best-match insertion.

18. The computer implemented method of claim 1, wherein generating a composite content item comprising the first content item and the selected advertisement is performed dynamically based upon user or advertiser generated variables resolved at display request time.

19. The computer implemented method of claim 1, the method further comprising presenting monetization options to a user of the system.