Method and apparatus for matching buyers and sellers in an anonymous online marketplace

• US 8,494,867 B2
• Filed: 12/14/2011
• Issued: 07/23/2013
• Est. Priority Date: 05/21/2007
• Status: Active Grant

• Current Assignee: CS Technology Inc (Accenture PLC)
• Original Assignee: CS Technology Inc (Accenture PLC)
• Inventors: Rosato, John Patrick, Blessing, Peter Barrett, Caputo, Robert Charles
• Primary Examiner(s): OUELLETTE, JONATHAN P
• Application Number:
  US13/325,270
• Publication Number:
  US 20120084107A1
• Time in Patent Office: 587 Days
• Field of Search: None
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/08 Auctions

Abstract

In one embodiment, the present invention is a method and apparatus for matching buyers and sellers in an anonymous online marketplace. One embodiment of a method for defining a community of network users includes collecting data relating to the network users, where the data is of at least one of the following types: demographic information relating to the network users, Internet Protocol address information relating to the network users, and Internet Protocol traffic information relating to the network users. The collected data is then anonymized, where the anonymizing is performed individually for each type of data. The anonymized data is aggregated to generate an activity-to-demographic mapping representative of network activity associated with particular demographics of the community of network users.

Claims

1. A method for generating an activity-to-demographic mapping representative of network activity associated with particular demographics of a plurality of users of an enterprise network, the method comprising:

collecting data relating to the plurality of users, where the plurality of users comprises employees of an enterprise associated with the enterprise network, and where the data comprises demographic information relating to the plurality of users and collected from a human resources system associated with the enterprise;

anonymizing the data to generate anonymized data; and

aggregating the anonymized data to generate the activity-to-demographic mapping,

wherein at least one of the collecting, the anonymizing, or the aggregating is performed by a server.

2. The method of claim 1, where the anonymizing is performed individually for each type of data such that data specific to a given one of the plurality of users is unavailable to entities other than a source of the data.

3. The method of claim 1, wherein the demographic information comprises at least one of:

a username used by an associated one of the plurality of users in the enterprise network, a location of an associated one of the plurality of users, a job title of an associated one of the plurality of users, a sex of an associated one of the plurality of users, or an age of an associated one of the plurality of users.

4. The method of claim 1, wherein the data further comprises Internet Protocol address information comprising at least one of:

an Internet Protocol address of an associated one of the plurality of users or a username to which the Internet Protocol address is assigned in the enterprise network.

5. The method of claim 4, wherein the Internet Protocol address information is collected from an Internet Protocol address management system associated with the enterprise.

6. The method of claim 1, wherein the data further comprises Internet Protocol traffic information related to the plurality of users.

7. The method of claim 6, wherein the Internet Protocol traffic information comprises at least one of:

one or more World Wide Web sites accessed by an associated one of the plurality of users, a username used by the associated one of the plurality of users to access the one or more World Wide Web sites, or an internal Internet Protocol address associated with the one or more World Wide Web sites.

8. The method of claim 6, wherein the Internet Protocol traffic information is collected from one or more Internet access points associated with the enterprise network.

9. The method of claim 8, wherein the Internet Protocol traffic information is tagged with at least a portion of the demographic information relating to at least one of the plurality of network users.

10. The method of claim 9, wherein a mechanism for performing tagging of the Internet Protocol traffic is at least one of:

an appendage to a search string, an external source Internet Protocol address assignment, a manipulation of a cookie, a modification of a uniform resource locator, or a manipulation of a hypertext transfer protocol packet.

11. The method of claim 1, wherein the anonymizing comprises:

applying a one-way hash function to at least a portion of the data.

12. The method of claim 1, further comprising:

providing access to the activity-to-demographic mapping in exchange for compensation.

13. The method of claim 1, wherein the plurality of users further comprises other users of the enterprise network for whom the enterprise maintains demographic information.

14. A non-transitory computer readable storage medium containing an executable program for generating an activity-to-demographic mapping representative of network activity associated with particular demographics of a plurality of users of an enterprise network, where the program performs steps of:

collecting data relating to the plurality of users, where the plurality of users comprises employees of an enterprise associated with the enterprise network, and where the data comprises demographic information relating to the plurality of users and collected from a human resources system associated with the enterprise;

anonymizing the data to generate anonymized data; and

aggregating the anonymized data to generate the activity-to-demographic mapping.

15. The non-transitory computer readable storage medium of claim 14, where the anonymizing is performed individually for each type of data such that data specific to a given one of the plurality of users is unavailable to entities other than a source of the data.

16. The non-transitory computer readable storage medium of claim 14, wherein the demographic information comprises at least one of:

a username used by an associated one of the plurality of users in the enterprise network, a location of an associated one of the plurality of users, a job title of an associated one of the plurality of users, a sex of an associated one of the plurality of users, or an age of an associated one of the plurality of users.

17. The non-transitory computer readable storage medium of claim 14, wherein the data further comprises Internet Protocol address information comprising at least one of:

an Internet Protocol address of an associated one of the plurality of users or a username to which the Internet Protocol address is assigned in the enterprise network.

18. The non-transitory computer readable storage medium of claim 14, wherein the data further comprises at least one of:

one or more World Wide Web sites accessed by an associated one of the plurality of users, a username used by the associated one of the plurality of users to access the one or more World Wide Web sites, or an internal Internet Protocol address associated with the one or more World Wide Web sites.

19. The non-transitory computer readable storage medium of claim 14, wherein the plurality of users further comprises other users of the enterprise network for whom the enterprise maintains demographic information.

20. Apparatus for method for generating an activity-to-demographic mapping representative of network activity associated with particular demographics of a plurality of users of an enterprise network, the apparatus comprising:

means for collecting data relating to the plurality of users, where the plurality of users comprises employees of an enterprise associated with the enterprise network, and where the data comprises demographic information relating to the plurality of users and collected from a human resources system associated with the enterprise;

means for anonymizing the data to generate anonymized data; and

means for aggregating the anonymized data to generate the activity-to-demographic mapping.