Creating a market for unbiased private individual data

• US 8,589,292 B1
• Filed: 08/29/2012
• Issued: 11/19/2013
• Est. Priority Date: 08/29/2012
• Status: Expired due to Fees

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: HP Inc.
• Inventors: Huberman, Bernardo, Aperjis, Christina
• Primary Examiner(s): Dass, Harish T
• Application Number:
  US13/597,516
• Time in Patent Office: 447 Days
• Field of Search: 705/27, 705/37, 705/10, 705/39, 705/36.R, 705/67, 726/1
• US Class Current: 705/39
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

A market for unbiased private individual data is disclosed. A data market maker managing the market collects information from owners of private individual data on their privacy and risk attitudes. The collected information includes choices from the owners of private individual data on different pricing schemes that reflect the privacy and risk attitudes of the owners of data. The data market maker receives requests for access to private individual data from data buyers over time and determines pricing menus listing prices for the data buyers to pay for access to the private individual data based on the collected information. The data market maker compensates the owners of the private individual data for selling access to their data to the data buyers.

Claims

1. A computer-implemented method for creating a market for private individual data, comprising:

requesting information from owners of private individual data on their privacy and risk attitudes;

receiving a request for access to private individual data from a data buyer, the private individual data stored in a database;

determining, by a computer, a pricing menu listing prices and data sample sizes for the data buyer to pay for access to the private individual data based on the requested information; and

extracting, by the computer, a data sample of the private individual data from the database, the sample having a data sample size selected by the data buyer from the pricing menu.

2. The computer-implemented method of claim 1, wherein requesting information from owners of private individual data on their privacy and risk attitudes comprises asking the owners of the private individual data to select between different pricing schemes listing a set of prices and data sample sizes.

3. The computer-implemented method of claim 1, wherein requesting information comprises allowing the owners of private individual data to opt out of the market and not sell their private individual data.

4. The computer-implemented method of claim 2, wherein the different pricing schemes comprise a first pricing scheme for owners of private individual data that are willing to sell access to their private individual data for a high expected cost that is tied to how much they value their privacy.

5. The computer-implemented method of claim 2, wherein the different pricing schemes comprise a second pricing scheme for owners of private individual data that are willing to sell access to their private individual data for a low expected cost that is tied to how little they value their privacy.

6. The computer-implemented method of claim 4, wherein the first pricing scheme pays owners of private individual data a price anytime the data buyer gets access to their data.

7. The computer-implemented method of claim 5, wherein the second pricing scheme pays owners of private individual data a price irrespectively of whether or not the data buyer gets access to their data.

8. The computer-implemented method of claim 2, wherein determining a pricing menu listing prices for the data buyer to pay for access to the private individual data based on the collected information comprises aggregating all choices made by the owners of the private individual data when selecting between different pricing schemes.

9. The computer-implemented method of claim 8, wherein determining a pricing menu comprises analyzing the aggregated choices to identify a minimum expected price for a random unbiased sample of private individual data.

10. The computer-implemented method of claim 1, comprising compensating the owners of the private individual data for access to their data.

11. A system for a data market maker to create a market for private individual data, comprising:

a processor; and

a set of memory resources storing a set of modules with routines executed by the processor, the set of modules comprising;

a data seller interrogation module to request information from owners of private individual data on their privacy and risk attitudes;

a data pricing module to determine a pricing menu based on answers to the request for information from the owners of the private individual data;

a data buyer exchange module to receive a request for private individual data and a selection on the pricing menu from a data buyer, the selection corresponding to a data sample of private individual data and a price for the data sample;

a data access module to extract the sample of private individual data from one or more databases, the sample having a data sample size selected by the data buyer from the pricing menu; and

a payment processing module to receive payment from the data buyer and compensate the owners of the sample of private individual data.

12. The system of claim 11, wherein the data pricing schemes comprise a first pricing scheme for owners of private individual data that are willing to sell access to their private individual data for a high expected cost that is tied to how much they value their privacy.

13. The system of claim 11, wherein the data pricing schemes comprise a second pricing scheme for owners of private individual data that are willing to sell access to their private individual data for a low cost that is tied to how little they value their privacy.

14. The system of claim 11, wherein the data seller interrogation module comprises executable routines to generate an option for the owners of private individual data to opt out of the market and not sell their data.

15. The system of claim 11, wherein the data pricing module comprises executable routines to analyze selections on the different pricing schemes by the owners of private individual data and to identify a minimum expected price for a random unbiased sample of private individual data based on the selections.

16. The system of claim 11, wherein the payment processing module comprises executable routines to collect a portion of the payment from the data buyer to compensate the data market maker.

17. A non-transitory computer-readable medium comprising executable instructions to:

request information from owners of private individual data by providing them a set of data pricing options, the data pricing options to capture privacy and risk attitudes of the owners of private individual data;

aggregate selections of the set of data pricing options from the owners of the private individual data;

determine a pricing menu listing a set of prices for a set of samples of private individual data based on the selections;

receive a selection for a price and sample of private individual data from a data buyer;

extract a sample of private individual data from one or more databases, the data sample having a data sample size selected by the data buyer from the pricing menu;

provide the sample of private individual data to the data buyer; and

process payment from the data buyer and to owners of the selected sample of private individual data.

18. The non-transitory computer readable medium of claim 17, wherein the set of data pricing options comprises an option for owners of private individual data to opt out from selling their data.

19. The non-transitory computer readable medium of claim 17, wherein to determine a set of prices for a set of samples of private individual data based on the selections comprises to determine a minimum expected price for the samples of private individual data based on the aggregated selections from the owners of the private individual data.

20. The non-transitory computer readable medium of claim 17, comprising executable instructions to collect a portion of the payment from the data buyer to compensate the data market maker.