METHOD OF ATTENTION-TARGETING FOR ONLINE ADVERTISEMENT

• US 20130041750A1
• Filed: 08/12/2011
• Published: 02/14/2013
• Est. Priority Date: 08/12/2011
• Status: Abandoned Application

• Current Assignee: Allyes Information Technology (Shanghai) Co., Ltd. (Giovanna Parent Ltd.)
• Original Assignee: Founton Tecnhologies, Ltd.
• Inventors: YE, Jun, Cao, Yu, Chen, Luoqi, Feng, Hanying, Luo, Ya, Zhuang, Wei
• Application Number:
  US13/209,256
• Publication Number:
  US 20130041750A1
• Time in Patent Office: Days
• US Class Current: 705/14.52
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

The various embodiments described in the present disclosure, in at least one aspect, relate to computer-implemented methods of online advertisement. In one embodiment, a method includes determining an attention score for each of a plurality of ad creatives corresponding to a common ad content based on at least a correlation between each ad creative and a user'"'"'s subconscious interest. The method further includes selecting an ad creative among the plurality of ad creatives based at least in part on the attention scores, and presenting the ad content with the selected ad creative as an ad impression to the user.

Claims

1. A computer-implemented method of providing targeted online advertisement, the method comprising:

receiving a request for an ad to be provided to a user in an online session;

selecting, using a processor of a computer, an ad content corresponding to the request;

ranking, using a processor of the computer, a plurality of ad creatives corresponding to the selected ad content based at least in part on a correlation between each respective ad creative and a subconscious interest of the user;

selecting, using a processor of the computer, an ad creative among the plurality of ad creatives based at least in part on a result of the ranking; and

providing the selected ad content with the selected ad creative as an ad impression to be displayed to the user in response to the request.

2. The computer-implemented method of claim 1, wherein ranking a plurality of ad creatives comprises:

determining, using a processor of the computer, an attention score for each of the plurality of ad creatives based at least in part on a correlation between each respective ad creative and a subconscious interest of the user; and

ranking the plurality of ad creatives according to the attention scores.

3. The computer-implemented method of claim 2, wherein the subconscious interest of the user is determined by tracking online behavior instances of the user, and determining an attention score comprises determining a relative degree of relevance of each ad creative to the subconscious interest of the user.

4. The computer-implemented method of claim 2, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and demographic information of the user.

5. The computer-implemented method of claim 2, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a content of the online session.

6. The computer-implemented method of claim 2, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a context layout of the online session.

7. The computer-implemented method of claim 2, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a plurality of ad creatives previously presented to the user immediately prior to the current online session.

8. A non-transitory computer-readable storage medium including instructions for providing targeted online advertisement, the instructions when executing causing at least one computer system to:

receive a request for an ad to be provided to a user;

select an ad content corresponding to the request;

rank a plurality of ad creatives corresponding to the selected ad content based at least in part on a correlation between each respective ad creative and a subconscious interest of the user;

select an ad creative among the plurality of ad creatives based at least in part on a result of the ranking; and

provide the selected ad content with the selected ad creative to be displayed to the user in response to the request.

9. The non-transitory computer-readable storage medium of claim 8, wherein ranking a plurality of ad creatives comprises:

determining an attention score for each of the plurality of ad creatives based at least in part on a correlation between each respective ad creative and a subconscious interest of the user; and

ranking the plurality of ad creatives according to the attention scores.

10. The non-transitory computer-readable storage medium of claim 9, wherein the subconscious interest of the user is determined by tracking online behavior instances of the user, and determining an attention score comprises determining a relative degree of relevance of each respective ad creative to the subconscious interest of the user.

11. The non-transitory computer-readable storage medium of claim 9, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and demographic information of the user.

12. The non-transitory computer-readable storage medium of claim 9, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a content of the online session.

13. The non-transitory computer-readable storage medium of claim 9, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a context layout of the online session.

14. The non-transitory computer-readable storage medium of claim 9, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a plurality of ad creatives previously presented to the user immediately prior to the current online session.

15. A system for providing targeted online advertisement, comprising:

a processor; and

at least one memory device storing instructions that, when executed by the processor, cause the system to;

receive a request for an ad to be provided to a user;

select an ad content corresponding to the request;

rank a plurality of ad creatives corresponding to the selected ad content based at least in part on a correlation between each respective ad creative and a subconscious interest of the user;

select an ad creative among the plurality of ad creatives based at least in part on a result of the ranking; and

provide the selected ad content with the selected ad creative to be displayed to the user in response to the request.

16. The system of claim 15, wherein ranking a plurality of ad creatives comprises:

determining an attention score for each of the plurality of ad creatives based at least in part on a correlation between each respective ad creative and a subconscious interest of the user; and

ranking the plurality of ad creatives according to the attention scores.

17. The system of claim 16, determining an attention score is further based at least in part on a correlation between each respective ad creative and demographic information of the user.

18. The system of claim 16, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a content of the online session.

19. The system of claim 16, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a context layout of the online session.

20. The system of claim 16, wherein determining an attention score is further based at least in part on a correlation between each respective ad creative and a plurality of ad creatives previously presented to the user immediately prior to the current online session.