Method and System for Efficient Matching of User Profiles with Audience Segments

• US 20140280549A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Grant

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Rajan, Suju, Gaffney, Scott
• Granted Patent: US 9,706,008 B2
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Embodiments of the present teachings disclose method, system, and programs that monetize personalized user behavioral profiles by remapping the users to audience segments related to advertisement. In the method, the users can be targeted with advertisements that are personalized and hence are more likely to lead to conversions

Claims

1. A method implemented on a machine having at least one processor, storage, and a communication interface connected to a network for providing content, the method comprising:

obtaining, based on a first index, a user profile characterizing a user;

obtaining, based on a second index, a content profile characterizing a piece of content;

correlating the user profile with the content profile;

and

outputting the piece of content based on a degree of correlation, wherein

the first and second indices correspond to the same index space.

2. The method of claim 1, wherein the first index is a content taxonomy and the second index is an advertisement taxonomy.

3. The method of claim 1, wherein the first index is a universal interest index.

4. The method of claim 1, wherein the piece of content associated with the second index is an advertisement.

12. The method of claim 1, wherein the user profile is correlated with the content profile by mapping at least some of a first set of attributes associated with the user profile to a second set of attributes associated with the content profile.

13. The method of claim 12, wherein each of the first set of attributes is assigned with a weight factor with respect to the second index, where the weight factor represents importance of the attribute in distinguishing a corresponding audience segment in the second index.

14. The method of claim 1, wherein the content profile corresponds to an advertising audience segment.

15. The method of claim 1, wherein the piece of content is outputted further based on at least one of:

click through rate of the piece of content;

revenue associated with the piece of content; and

quality of the piece of content.

16. The method of claim 1, wherein the piece of content is presented to the user in a content stream, where the content stream includes one or more pieces of content associated with the user profile.

5. A system having at least one processor, a storage, and a communication platform for providing content, the system comprising:

a user profile obtainer configured for obtaining, based on a first index, a user profile characterizing a user;

a content profile obtainer configured for obtaining, based on a second index, a content profile characterizing a piece of content;

a correlator configured for correlating the user profile with the content profile;

and

an output configured for outputting the piece of content based on a degree of correlation, wherein

the first and second indices correspond to the same index space.

7. The system of claim 5, wherein the piece of content associated with the second index is an advertisement.

17. The system of claim 5, wherein the piece of content is outputted further based on at least one of:

click through rate of the piece of content;

revenue associated with the piece of content; and

quality of the piece of content.

18. The system of claim 5, wherein the piece of content is presented to the user in a content stream, where the content stream includes one or more pieces of content associated with the user profile.

6. The system of 5, wherein the first index is a content taxonomy and the second index is an advertisement taxonomy.

8. A non-transitory machine readable medium having information recorded thereon for providing content, wherein the information, when read by a machine, causes the machine to perform the steps of:

obtaining, based on a first index, a user profile characterizing a user;

obtaining, based on a second index, a content profile characterizing a piece of content;

correlating the user profile with the content profile;

and

outputting the piece of content based on a degree of correlation, wherein

the first and second indices correspond to the same index space.

9. The medium of claim 8, wherein the first index is a content taxonomy and the second index is an advertisement taxonomy.

10. The medium of claim 8, wherein the piece of content associated with the second index is an advertisement.

19. The medium of claim 8, wherein the piece of content is outputted further based on at least one of:

click through rate of the piece of content;

revenue associated with the piece of content; and

quality of the piece of content.

20. The medium of claim 8, wherein the piece of content is presented to the user in a content stream, where the content stream includes one or more pieces of content associated with the user profile.

11. A method implemented on a machine having at least one processor, storage, and a communication interface connected to a network for providing content, the method comprising:

obtaining a user profile characterizing a user based on a first set of attributes;

mapping at least some of the first set of attributes associated with the user profile to a second set of attributes associated with an advertising audience segment;

estimating an affinity measure between the user profile and the advertising audience Segment based on the mapping;

identifying advertising content associated with the advertising audience segment based on the affinity measure; and

outputting the advertising content.