Granted Patent B2

US 10,171,602 · App. 15/729,305 · Granted Jan 1, 2019

Abstract

Claims (58)

1. A method for evaluating web activity, the method comprising:

receiving activity data for one or more resources on a network for a predetermined time period, the resources having been accessed by a plurality of client systems, and the activity data including a unique identifier and a category of an accessing client system for each access to the one or more resources;

identifying at least one persistent identifier of a client system within the activity data;

identifying a subset of the activity data associated with the at least one persistent identifier of the client system that accesses the one or more resources;

determining, based on the subset of the activity data, a total number of accesses to the one or more resources from the client system having the persistent identifier; and

determining, based on the determined total number of accesses to the one or more resources from the client system having the persistent identifier, an estimated number of accesses to the one or more resources from the client system having the persistent identifier if the persistent identifier persisted on the client system during the entire predetermined time period.

2. The method of claim 1 , wherein determining the estimated number of accesses to the one or more resources from the client system having the persistent identifier comprises:

determining an active time period in which the unique identifier has been associated with the client system during the predetermined time period;

determining an inactive time period in which the unique identifier was not associated with the client system during the predetermined time period; and

multiplying the determined total number of accesses to the one or more resources from the client system having the persistent identifier in the received activity data by one plus the ratio of the inactive time period to the active time period.

3. The method of claim 1 , further comprising dividing the estimated number of accesses to the one or more resources from the client system based on the category of the accessing client system.

4. The method of claim 3 , further comprising determining an average number of accesses of the one or more resources for each category of the accessing client system.

5. The method of claim 1 , further comprising dividing the estimated number of accesses to the one or more resources from the client system based on a geographic location region of the accessing client system or demographics of a user of the accessing client system.

6. The method of claim 1 , further comprising generating a report of unique client systems that have accessed the one or more resources over the predetermined time period based on the estimated number of accesses to the one or more resources from the client system having the persistent identifier.

7. The method of claim 1 , wherein identifying the at least one persistent identifier of the client system comprises:

determining a length of time that the unique identifier has been associated with the client system;

comparing the length of time to a predetermined threshold; and

determining that the length of time is greater than the predetermined threshold.

8. The method of claim 1 , wherein identifying the at least one persistent identifier of the client system comprises:

determining a fraction of the predetermined time period in which the unique identifier has been associated with the client system;

comparing the fraction of the predetermined time period to a predetermined threshold; and

determining that the fraction of the predetermined time period is greater than the predetermined threshold.

9. The method of claim 1 , wherein the category of the accessing client system comprises one or more of a make of the client system, a model of the client system, a platform of the client system, and an Internet Service Provider of the client system.

10. The method of claim 1 , further comprising preprocessing the received activity data for the one or more resources on the network to remove fraudulent, non-human initiated accesses to the one or more resources on the network.

11. The method of claim 1 , wherein the activity data further comprises one or more of an identifier of the resource, a network address of the accessing client system, and a time that the client system accessed the resource for each access to the resource.

12. The method of claim 1 , wherein the unique identifier for the accessing client system is stored in a cookie on the accessing client system.

13. A system for evaluating web activity, the system comprising:

one or more processing devices;

one or more storage devices storing instructions that, when executed by the one or more processing devices, cause the one or more processing devices to perform the following operations:

receive activity data for one or more resources on a network for a predetermined time period, the resources having been accessed by a plurality of client systems, and the activity data including a unique identifier and a category of an accessing client system for each access to the one or more resources;

identify at least one persistent identifier of a client system within the activity data;

identify a subset of the activity data associated with the at least one persistent identifier of the client system that accesses the one or more resources;

determine, based on the subset of the activity data, a total number of accesses to the one or more resources from the client system having the persistent identifier; and

determine, based on the determined total number of accesses to the one or more resources from the client system having the persistent identifier, an estimated number of accesses to the one or more resources from the client system having the persistent identifier if the persistent identifier persisted on the client system during the entire predetermined time period.

14. The system of claim 13 , wherein, to determine the estimated number of accesses to the one or more resources from the client system having the persistent identifier, the instructions include instructions that, when executed by the one or more processing devices, cause the one or more processing devices to:

determine an active time period in which the unique identifier has been associated with the client system during the predetermined time period;

determine an inactive time period in which the unique identifier was not associated with the client system during the predetermined time period; and

multiply the determined total number of accesses to the one or more resources from the client system having the persistent identifier in the received activity data by one plus the ratio of the inactive time period to the active time period.

15. The system of claim 13 , wherein the instructions include instructions that, when executed by the one or more processing devices, further cause the one or more processing devices to generate a report of unique client systems that have accessed the one or more resources over the predetermined time period based on the estimated number of accesses to the one or more resources from the client system having the persistent identifier.

16. The system of claim 13 , wherein, to identify the at least one persistent identifier of the client system, the instructions include instructions that, when executed by the one or more processing devices, cause the one or more processing devices to:

determine a length of time that the unique identifier has been associated with the client system;

compare the length of time to a predetermined threshold; and

determine that the length of time is greater than the predetermined threshold.

17. A non-transitory computer-readable medium storing instructions which, when executed, cause one or more processors to perform a method for evaluating web activity, the method comprising:

receiving activity data for one or more resources on a network for a predetermined time period, the resources having been accessed by a plurality of client systems, and the activity data including a unique identifier and a category of an accessing client system for each access to the one or more resources;

identifying at least one persistent identifier of a client system within the activity data;

identifying a subset of the activity data associated with the at least one persistent identifier of the client system that accesses the one or more resources;

determining, based on the subset of the activity data, a total number of accesses to the one or more resources from the client system having the persistent identifier; and

determining, based on the determined total number of accesses to the one or more resources from the client system having the persistent identifier, an estimated number of accesses to the one or more resources from the client system having the persistent identifier if the persistent identifier persisted on the client system during the entire predetermined time period.

18. The non-transitory computer-readable medium of claim 17 , wherein determining the estimated number of accesses to the one or more resources from the client system having the persistent identifier comprises:

determining an active time period in which the unique identifier has been associated with the client system during the predetermined time period;

determining an inactive time period in which the unique identifier was not associated with the client system during the predetermined time period; and

multiplying the determined total number of accesses to the one or more resources from the client system having the persistent identifier in the received activity data by one plus the ratio of the inactive time period to the active time period.

19. The non-transitory computer-readable medium of claim 17 , wherein the method further comprises generating a report of unique client systems that have accessed the one or more resources over the predetermined time period based on the estimated number of accesses to the one or more resources from the client system having the persistent identifier.

20. The non-transitory computer-readable medium of claim 17 , wherein identifying the at least one persistent identifier of the client system comprises:

determining a length of time that the unique identifier has been associated with the client system;

comparing the length of time to a predetermined threshold; and

determining that the length of time is greater than the predetermined threshold.

Assignments (8)