System and Method for Peer-to-Peer Distribution of Media Exposure Data

• US 20130232198A1
• Filed: 12/27/2012
• Published: 09/05/2013
• Est. Priority Date: 12/21/2009
• Status: Abandoned Application

• Current Assignee: Arbitron Inc. (MOOD Media Corporation)
• Original Assignee: Arbitron Inc. (MOOD Media Corporation)
• Inventors: Tenbrock, Michael
• Application Number:
  US13/728,068
• Publication Number:
  US 20130232198A1
• Time in Patent Office: Days
• US Class Current: 709/204
• 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
• CPC Class Codes: H04L 63/0407 wherein the identity of one or more communicating identities is hidden cryptographic mechanisms or cryptographic arrangements for anonymous credentials or for identity based cryptographic systems H04L9/00
• CPC Class Codes: H04L 67/104 Peer-to-peer [P2P] networks
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Systems and methods for operating an anonymous peer-to-peer (“P2P”) privacy panel for audience measurement is disclosed. A plurality of processing devices are configured to record and process research data pursuant to a research operation. Each of the users associated with each processing devices provide user data to a central site, where the user data includes demographic information, previous media exposure data, and other data. In accordance with user data, a customized P2P network is created where media exposure data including audio codes, signatures and data objects 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 communicating in a computer-based network, comprising the steps of:

identifying user data having one or more predetermined characteristics;

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

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

receiving collected exposure data from the formed network reflecting exposure to media at each of the nodes, wherein the exposure data comprises at least one of audio signatures and Internet usage.

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 user data comprises one of age, sex, income, marital status, panelist demographics, previous exposure to media, retail store visits, purchases, previous internet usage, consumer beliefs and opinions relating to consumer products and services.

4. The method according to claim 1, wherein the audio signatures comprise transformed acoustic energy that identify or characterize 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 1, wherein the audio signatures comprise a time-based component that identifies of characterizes at least one of a 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 for Internet usage comprises data objects collected from the processing device.

7. The method according to claim 2, 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 processing devices, to be unreadable.

9. The method according to claim 7, wherein the obfuscation transforms user data, from each of the portable devices, to be 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 user 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:

identifying user data having one or more predetermined characteristics;

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

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

receiving collected exposure data from the formed network reflecting exposure to media at each of the nodes, wherein the exposure data comprises at least one of audio signatures and Internet usage.

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

13. The article according to claim 10, wherein the audio signatures comprise transformed acoustic energy that identify or characterize at least one of a program, song, station, channel and commercial that was watched or listened to by a user.

14. The article according to claim 10, wherein the audio signatures comprise a time-based component that identifies of characterizes at least one of a program, song, station, channel and commercial that was watched or listened to by a user.

15. The article according to claim 10, wherein the exposure data for Internet usage comprises data objects collected from the processing device.