SPONSORED SEARCH AUCTION MECHANISM FOR RICH MEDIA ADVERTISING

• US 20120158490A1
• Filed: 12/16/2010
• Published: 06/21/2012
• Est. Priority Date: 12/16/2010
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Neumeyer, Leonardo, Schwarz, Michael, Rao, Sharath
• Application Number:
  US12/970,586
• Publication Number:
  US 20120158490A1
• Time in Patent Office: Days
• US Class Current: 705/14.46
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues

Abstract

A system for selecting a rich advertisement for display to a user is provided. The system may include an advertisement engine with a first selection module configured to select a list of text advertisements for a text slate based on a query entered by the user and determine a first expected revenue of the text slate according to a first auction of text advertisements. The advertisement engine may also include a second selection module configured to select a rich advertisement for a mixed slate based on the query entered by the user and determine a second expected revenue of the mixed slate. Further, the advertisement engine may determine whether to display the text slate or the mixed slate based on the first expected revenue and the second expected revenue.

Claims

1. A system for selecting a rich advertisement for display to a user, the system comprising:

an advertisement engine including a first selection module configured to select a list of text advertisements for a text slate based on a query entered by the user and determine an first expected revenue according to a first auction of text advertisements, the advertisement engine including a second selection module configured to select a rich advertisement for a mixed slate based on the query entered by the user, the second selection module determining a second expected revenue of the rich advertisement; and

wherein the advertisement engine determines whether to display the text slate or the mixed slate based on the first expected revenue of the slate of text advertisements and a the second expected revenue of the rich advertisement.

2. The system according to claim 1, wherein the second selection module determines the second expected revenue based on a second auction of rich advertisements.

3. The system according to claim 1, wherein the advertisement engine is only allowed to consider rich advertisements when the query includes a keyword in a predetermined whitelist.

4. The system according to claim 1, wherein only brand advertisers are allowed to bid on the rich advertisement when the query contains a brand.

5. The system according to claim 1, wherein the advertisement engine selects the rich advertisement only if the rich advertisement meets minimum quality and revenue requirements.

6. The system according to claim 1, wherein the advertisement engine places the rich advertisement in an exclusive north placement.

7. The system according to claim 6, wherein the advertisement engine removes text advertisements from the slate that correspond to the advertiser of the rich advertisement selected for display.

8. The system according to claim 7, wherein the slate of text advertisements are placed in a far east region.

9. The system according to claim 1, wherein the advertisement engine constrains the selection of the rich advertisement based on a throttle rate.

10. The system according to claim 1, wherein the advertisement engine computes a probability of click for each text advertisement in the slate using a click prediction model.

11. The system according to claim 1, wherein the first auction is a generalized second price auction.

12. The system according to claim 1, wherein a bid for the rich advertisement must exceed a predefined reserve price to be selected for display to the user.

13. The system according to claim 1, wherein a bid for the second expected revenue is determined based on the product of bid for the rich advertisement and a click through rate for the rich advertisement.

14. The system according to claim 1, wherein a price paid for the rich advertisement is determined based on a product of the bid for a second ranked rich advertisement and a ratio of the click through rate for the second ranked rich advertisement to a click through rate of the rich advertisement.

15. A method for selecting a rich advertisement for display to a user, the method comprising:

selecting a list of text advertisements for a text slate based on a query entered by the user;

determining a first expected revenue according to a first auction of text advertisements;

selecting a rich advertisement for a mixed slate based on the query entered by the user;

determining a second expected revenue of the rich advertisement; and

determining whether to display the text slate or the mixed slate based on the first expected revenue and a the second expected revenue of the rich advertisement.

16. The method according to claim 15, wherein the second expected revenue is determined based on a second auction of rich advertisements.

17. The method according to claim 15, further comprising placing the rich advertisement in an exclusive north placement, removing text advertisements from the slate that correspond to the advertiser of the rich advertisement selected for display, and placing the slate of text advertisements in a far east region.

18. In a computer readable storage medium having stored therein instructions executable by a programmed processor for selecting a rich advertisement for display to a user, the storage medium comprising instructions for:

selecting a list of text advertisements for a text slate based on a query entered by the user;

determining a first expected revenue according to a first auction of text advertisements;

selecting a rich advertisement for a mixed slate based on the query entered by the user;

determining a second expected revenue of the rich advertisement; and

determining whether to display the text slate or the mixed slate based on the first expected revenue and a the second expected revenue of the rich advertisement.

19. The computer readable storage medium according to claim 18, wherein the second expected revenue is determined based on a second auction of rich advertisements.

20. The computer readable storage medium according to claim 18, further comprising instructions for placing the rich advertisement in an exclusive north placement, removing text advertisements from the slate that correspond to the advertiser of the rich advertisement selected for display, and placing the slate of text advertisements in a far east region.