PEER-TO-PEER PRIVACY PANEL FOR AUDIENCE MEASUREMENT

• US 20110153391A1
• Filed: 12/21/2009
• Published: 06/23/2011
• Est. Priority Date: 12/21/2009
• Status: Abandoned Application

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: TENBROCK, MICHAEL
• Application Number:
  US12/643,647
• Publication Number:
  US 20110153391A1
• Time in Patent Office: Days
• US Class Current: 705/7.33
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Systems and methods for operating an anonymous peer-to-peer (“P2P”) privacy panel for audience measurement is disclosed. A plurality of portable devices are configured to record and process research data pursuant to a research operation. Each of the panelists associated with each portable devices provide panelist data to a central site, where the panelist data includes demographic information, previous media exposure data, and other data. In accordance with panelist data, a customized P2P network is created where media exposure data is obfuscated and communicate among portable devices in the network. By utilizing a P2P network together with obfuscation techniques, panelist privacy is greatly increased.

Claims

1. A method of forming a computer-based network for distributing research data among a plurality of portable devices, comprising the steps of:

processing panelist data associated with each portable device in order to identify panelist data having one or more predetermined characteristics;

requesting a session for a peer-to-peer network connection to each of the portable devices identified with associated panelist data having the one or more predetermined characteristics;

forming a peer-to-peer network with portable devices responding to the request, where each of the portable devices are configured to act as a node on the formed network and communicate with each other; and

receiving exposure data from the formed network, said exposure data reflecting a level of exposure to media data at each of the nodes.

2. The method according to claim 1, wherein the exposure data is at least partially obfuscated.

3. The method according to claim 1, wherein the panelist data comprises one of age, sex, income, marital status, panelist demographics, exposure to media, retail store visits, purchases, internet usage, consumer beliefs and opinions relating to consumer products and services.

4. The method according to claim 1, wherein the exposure data comprises transformed acoustic energy that identifies or characterizes at least one of a program, song, station, channel and commercial that was watched or listened to by a panelist.

5. The method according to claim 3, wherein the transformed acoustic energy comprises decoded ancillary data, said ancillary data comprising data that identifies or characterizes at least one of the program, song, station, channel and commercial that was watched or listened to by a panelist.

6. The method according to claim 1, wherein the exposure data comprises code detected from modified audio data according to predefined audio encoding parameters.

7. The method according to claim 1, wherein the obfuscation is based on at least one of lexical obfuscation, data obfuscation, control obfuscation and layout obfuscation.

8. The method according to claim 7, wherein the obfuscation transforms network flow data, from each of the portable devices, unreadable.

9. The method according to claim 7, wherein the obfuscation transforms panelist data, from each of the portable devices, unreadable.

11. The article according to claim 9, wherein the exposure data is at least partially obfuscated.

16. The article according to claim 11, wherein the obfuscation is based on at least one of lexical obfuscation, data obfuscation, control obfuscation and layout obfuscation.

17. The article according to claim 16, wherein the obfuscation transforms network flow data, from each of the portable devices, unreadable.

18. The article according to claim 16, wherein the obfuscation transforms panelist data, from each of the portable devices, unreadable.

10. An article comprising a machine readable tangible medium having embodied thereon a computer program, the computer program being executable by a computer included in a peer-to-peer network system comprising a plurality of portable device, the computer program being executable by the computer to perform:

processing panelist data associated with each portable device in order to identify panelist data having one or more predetermined characteristics;

requesting a session for the peer-to-peer network connection to each of the portable devices identified with associated panelist data having the one or more predetermined characteristics;

forming the peer-to-peer network with portable devices responding to the request, where each of the portable devices are configured to act as a node on the formed network and communicate with each other; and

receiving exposure data from the formed network, said exposure data reflecting a level of exposure to media data at each of the nodes

12. The article according to claim 10, wherein the panelist data comprises one of age, sex, income, marital status, panelist demographics, exposure to media, retail store visits, purchases, internet usage, consumer beliefs and opinions relating to consumer products and services.

13. The article according to claim 10, wherein the exposure data comprises transformed acoustic energy that identifies or characterizes at least one of a program, song, station, channel and commercial that was watched or listened to by a panelist.

14. The article according to claim 10, wherein the transformed acoustic energy comprises decoded ancillary data, said ancillary data comprising data that identifies or characterizes at least one of the program, song, station, channel and commercial that was watched or listened to by a panelist.

15. The article according to claim 10, wherein the exposure data comprises code detected from modified audio data according to predefined audio encoding parameters.