Targeting Listings Based on User-Supplied Profile and Interest Data

• US 20130030919A1
• Filed: 07/27/2012
• Published: 01/31/2013
• Est. Priority Date: 07/28/2011
• Status: Abandoned Application

• Current Assignee: Iissee LLC
• Original Assignee: Iissee LLC
• Inventors: Brinson, Robert Maddox Jr., Brinson, Madison Elizabeth, Cox, Tina Brinson, Maddox, Rebecca Frierson, Blakeslee, Hal Hunt
• Application Number:
  US13/560,124
• Publication Number:
  US 20130030919A1
• Time in Patent Office: Days
• US Class Current: 705/14.58
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

Technologies for targeting listings based on user-supplied profile and interest data are presented herein. In one aspect, user-supplied profile and interest data is received from a user. Targeted business listings are generated for the user based on the user-supplied profile and interest data. The targeted business listings are then provided to the user.

Claims

1. A computer-implemented method for targeting listings based on user-supplied profile and interest data, the method comprising:

receiving user-supplied profile and interest data from a user;

generating targeted business listings for the user based on the user-supplied profile and interest data; and

providing the targeted business listings to the user.

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

receiving target interest data associated with a business; and

generating the targeted business listings by matching the user-supplied profile and interest data with the received target interest data associated with the business.

3. The computer-implemented method of claim 2, wherein generating the targeted business listings comprises excluding business listings for a business associated with targeted interest data that matches the user-supplied profile and interest data.

4. The computer-implemented method of claim 1, wherein the profile and interest data comprises at least one of user demographics, interests, traits, and characteristics.

5. The computer-implemented method of claim 1, comprising receiving profile and interest data from the user for a plurality of named profiles.

6. The computer-implemented method of claim 5, wherein each of the plurality of named profiles is associated with a persona.

7. The computer-implemented method of claim 5, wherein each of the plurality of named profiles is associated with an activity.

8. The computer-implemented method of claim 5, wherein a user interface presented to the user indicates a currently active named profile.

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

receiving location data from the user; and

generating the targeted business listings further based on the received location data.

10. The computer-implemented method of claim 9, wherein the location data comprises a zip code and a radius.

11. A system for targeting listings based on user-supplied profile and interest data, the system comprising:

one or more processing units;

a memory device operatively coupled to the one or more processing units; and

a logic module residing in the memory device and configured to cause the one or more processing units to

receive user-supplied profile and interest data from a user,

receive target interest data associated with a business,

generate targeted business listings by matching the user-supplied profile and interest data with the received target interest data associated with the business, and

provide the targeted business listings to the user.

12. The system of claim 11, wherein generating the targeted business listings comprises excluding business listings for a business associated with targeted interest data that matches the user-supplied profile and interest data.

13. The system of claim 11, wherein providing the targeted business listings to the user comprises displaying the targeted business listings in a user interface presented to the user on a display connected to a user computer.

14. The system of claim 13, wherein the user can indicate one or more of the targeted business listings be hidden from the user in the user interface.

15. A computer-readable storage medium having stored thereon computer-executable instructions which, when executed by one or more processors, cause a computer to:

receive user-supplied profile and interest data associated with each of a plurality of named profiles from a user;

receive a selection of a currently active profile from the user, the currently active profile comprising one of the plurality of named profiles from the user;

generate targeted business listings for the user based on the user-supplied profile and interest data for the currently active profile; and

provide the targeted business listings to the user in a user interface presented to the user on a display connected to a user computer.

16. The computer-readable storage medium of claim 15, wherein the each of the plurality of named profiles is associated with at least one of a persona or an activity.

17. The computer-readable storage medium of claim 15, further comprising computer-executable instructions which, when executed by the one or more processors, cause the computer to present an indication in the user interface of the currently active profile.

18. The computer-readable storage medium of claim 15, wherein the user can indicate one or more of the targeted business listings be hidden from the user in the user interface.

19. The computer-readable storage medium of claim 15, further comprising computer-executable instructions which, when executed by the one or more processors, cause the computer to:

receive external content;

filter the external content based on the currently active profile; and

provide the filtered external content to the user in the user interface.

20. The computer-readable storage medium of claim 15, further comprising computer-executable instructions which, when executed by the one or more processors, cause the computer to provide additional targeted content to the user with the target business listings, the additional targeted content comprising at least one of advertisements, promotions, crowd-sourced content, and business classification data.