Methods and apparatus to identify session users with cookie information

• US 9,015,255 B2
• Filed: 02/14/2012
• Issued: 04/21/2015
• Est. Priority Date: 02/14/2012
• Status: Active Grant

• Current Assignee: Nielsen Company (US) LLC (RR Donnelley & Sons Company)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Duterque, Gilles, Srivastava, Seema Varma, Ion, Cristina
• Primary Examiner(s): Bates, Kevin
• Assistant Examiner(s): RAHMAN, SM AZIZUR
• Application Number:
  US13/396,071
• Publication Number:
  US 20130212188A1
• Time in Patent Office: 1,162 Days
• Field of Search: 709/206
• US Class Current: 709/206
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 67/146 Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Methods and apparatus are disclosed to identify session users with cookie information. An example method includes identifying activity associated with a first cookie having a first type, in response to identifying the first, parsing the first cookie to identify a first panelist, when the first cookie includes an identifier associated with a first panelist, associating current usage activity of the computing device with the first panelist, and when the first cookie includes an identifier unassociated with the first panelist, associating current usage activity of the computing device with a guest.

Claims

1. A method to identify a current user of a computing device, comprising:

accessing a first cookie storage location of a first browser and a second cookie storage location of a second browser;

locating a most recently used cookie from cookies stored in the first and the second cookie storage locations to identify a current usage activity associated with the computing device;

parsing the most recently used cookie for an identifier;

comparing the identifier to a cookie table, the cookie table associating cookies with panelists;

when the identifier of the most recently used cookie is associated with one of the panelists, associating the current usage activity of the computing device with a corresponding panelist; and

when the identifier of the most recently used cookie is not associated with any of the panelists, associating the current usage activity of the computing device with a guest.

2. A method as described in claim 1, wherein the current usage activity associated with the most recently used cookie comprises at least one of creating the most recently used cookie, modifying the most recently used cookie, or deleting the most recently used cookie.

3. A method as described in claim 1, wherein the most recently used cookie has a first type indicative of a specific web-service.

4. A method as described in claim 3, wherein the web-service comprises at least one of a social networking service, an e-mail service, or a banking service.

5. A method as described in claim 3, further comprising:

scanning the computing device at a second time after accessing the first and second cookie storage locations for a second cookie having the first type; and

detecting if the second cookie was modified more recently than the most recently used cookie.

6. A method as described in claim 5, further comprising using the second cookie to identify the corresponding panelist.

7. A method as described in claim 6, further comprising, when the current user identified by the second cookie is a first panelist, associating current usage activity of the computing device with the first panelist.

8. A method as described in claim 6, further comprising, when the corresponding panelist identified by the second cookie is a second panelist, associating the current usage activity of the computing device with the second panelist.

9. A method as described in claim 5, further comprising, when the second cookie is devoid of an indication of any of the panelists, associating the current usage activity of the computing device with the guest.

10. A method as described in claim 1, further comprising scanning the computing device at a subsequent time for a second cookie having a second type and an indication of having been modified more recently than the most recently used cookie at a previous time.

11. A method as described in claim 10, further comprising using the second cookie to identify the corresponding panelist when the second cookie was modified more recently than the most recently used cookie.

12. A tangible machine accessible medium comprising instructions that, when executed, cause a machine to, at least:

access a first cookie storage location of a first browser;

access a second cookie storage location of a second browser;

locate a most recently used cookie from a plurality of cookies stored in at least one of the first cookie storage location and the second cookie storage location, the most recently used cookie to identify a current usage activity associated with the computing device;

parse the most recently used cookie to identify an identifier;

compare the identifier to a cookie table, the cookie table mapping cookies to panelists;

when the identifier of the most recently used cookie is associated with a corresponding panelist in the cookie table, associate the current usage activity of the computing device with the corresponding panelist; and

when the identifier of the most recently used cookie is not associated with any of the panelists in the cookie table, associate the current usage activity of the computing device with a guest.

13. A tangible machine accessible medium as described in claim 12, wherein the instructions, when executed, cause the machine to at least one of create the most recently used cookie, modify the most recently used cookie, or delete the most recently used cookie.

14. A tangible machine accessible medium as described in claim 12, wherein the instructions, when executed, cause the machine to identify a first type of the most recently used cookie as indicative of a specific web-service.

15. A tangible machine accessible medium as described in claim 14, wherein the instructions, when executed, cause the machine to identify the web-service as at least one of a social networking service, an e-mail service, or a banking service.

16. A tangible machine accessible medium as described in claim 14, wherein the instructions, when executed, cause the machine to:

scan the computing device at a second time after accessing the first and second cookie storage locations for a second cookie having the first type; and

detect if the second cookie was modified more recently than the most recently used cookie.

17. A tangible machine accessible medium as described in claim 16, wherein the instructions, when executed, cause the machine to use the second cookie to identify the corresponding panelist.

18. A tangible machine accessible medium as described in claim 17, wherein the instructions, when executed, cause the machine to associate current usage activity of the computing device with the first panelist when the user identified by the second cookie is the first panelist.

19. A tangible machine accessible medium as described in claim 16, wherein the instructions, when executed, cause the machine to associate the current usage activity of the computing device with the guest when the second cookie is devoid of an indication of any of the panelists.

20. A tangible machine accessible medium as described in claim 12, wherein the instructions, when executed, cause the machine to scan the computing device at a subsequent time for a second cookie having a second type and an indication of modification more recent than the most recently used cookie located at a previous time.

21. A tangible machine accessible medium as described in claim 20, wherein the instructions, when executed, cause the machine to use the second cookie to identify the corresponding panelist when the second cookie was modified more recently than the most recently used cookie.

22. An apparatus to identify a current user of a computing device, comprising:

an activity associator to identify current usage activity associated with a most recently used cookie; and

a cookie manager to;

access a first cookie storage location of a first browser;

access a second cookie storage location of a second browser;

locate the most recently used cookie from a plurality of cookies stored in the first and the second cookie storage locations;

parse the most recently used cookie for an identifier; and

compare the identifier to a cookie table, the cookie table mapping cookies to respective ones of a plurality of panelists, the activity associator to associate the current usage activity of the computing device with a corresponding one of the panelists when an identifier of the most recently used cookie is in the cookie table, and the activity associator to associate the current usage activity of the computing device with a guest when the identifier of the most recently used cookie is not in the cookie table.

23. An apparatus as described in claim 22, further comprising a cookie temporal analyzer to scan the computing device at a second time after accessing the first and second cookie storage locations for a second cookie having a first type indicative of a specific web-service, and to detect whether the second cookie was modified more recently than the most recently used cookie.

24. An apparatus as described in claim 23, wherein the cookie manager is to use the second cookie to identify the corresponding one of the panelists.

25. An apparatus as described in claim 22, further comprising a cookie change monitor to scan the computing device for a second cookie having a second type and an indication of modification more recent than the most recently used cookie.