Managing page-level usage data

• US 9,438,694 B1
• Filed: 01/29/2013
• Issued: 09/06/2016
• Est. Priority Date: 01/29/2013
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Ochesel, Andrei, Dumbrava, Andrei-Liviu, Curelariu, Marius Ioan, Tanasa, Codrin Gheorghe, Rudeanu, Corneliu Alexandru Gabriel
• Primary Examiner(s): Higa, Brendan
• Assistant Examiner(s): Tseng, Leon Y
• Application Number:
  US13/753,498
• Time in Patent Office: 1,316 Days
• Field of Search: 709/203
• US Class Current: 1/1
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• 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 are disclosed which facilitate management and monitoring of page-level usage data. Specifically, a client computing device may retrieve content from a remote system for local display. A local interaction monitoring component may monitor local interaction with the content, and transmit local interaction information to the remote system. In one embodiment, interaction may be monitored with regard to predefined portions of the content. In another embodiment, interaction may be transmitted to the remote server for processing, in order to generate page-level usage data. In still more embodiments, page level-usage data may be processed or formatted in order to facilitate ease of retrieval and display. In yet more embodiments, the remote system may enable clients, such as administrators, to view aggregate page-level usage data why viewing a corresponding content.

Claims

1. A computer-implemented method for generating page-level usage data corresponding to interaction with an item of content, wherein the computer-implemented method is implemented by one or more computing devices configured with specific executable instructions, the computer-implemented method comprising:

receiving usage data indicating an output of the content item on a client computing device during a specified period of time;

determining that the specified period of time does not correspond to a break point of a set of break points defined according to break point criteria, wherein the break point indicates that the usage data should not be combined with historical usage data indicating prior output of the content item on a plurality of client computing devices;

in response to determining that the specified period of time does not correspond to the break point;

receiving the historical usage data;

aggregating the received usage data and the historical usage data to form aggregate usage data; and

storing the aggregate usage data as usage data for the specified period of time;

receiving a request for usage data indicating output of the content item between a first point in time and a second point in time;

in response to the received request, determining a plurality of break points, from the set of break points defined according to the break point criteria, that occur between the first point in time specified in the request and the second point in time specified within the request and, for individual break points of the plurality of break points, retrieving aggregate usage data corresponding to the individual break point;

determining usage data responsive to the request, at least partly by combining the aggregate usage data for the individual break points of the plurality of break points; and

transmitting the determined usage data for output to a client computing device.

2. The computer-implemented method of claim 1, wherein the content item corresponds to a web page.

3. The computer-implemented method of claim 1, wherein the historical usage data comprises an average time each portion of the content item was output on each of the plurality of client computing devices, a percentage of the plurality of client computing devices that output each portion of the content item for at least a threshold amount of time, or an average output movement speed of the plurality of computing devices during output of each portion of the content item.

4. The computer-implemented method of claim 1, wherein the break point criteria defines a break point at least one of once a day, once a week, or once a month.

5. The computer-implemented method of claim 1, wherein the usage data comprises information regarding portions of the content item output on the plurality of client computing devices.

6. The computer-implemented method of claim 5, wherein each of portion of the content item corresponds to at least one of a horizontal portion of the content item of a predefined height or a vertical portion of the content item of a predefined width.

7. The computer-implemented method of claim 1 further comprising retrieving additional usage data for the content item corresponding to a time period between the second point and a most recent break point of the plurality of break points, wherein the usage data responsive to the request is further determined at least partly by combining the additional usage data with the aggregate usage data for the individual break points of the plurality of break points.

8. A system for generating page-level usage data corresponding to interaction with an item of content, the system comprising:

one or more non-transitory data stores for maintaining historical usage data indicating prior output of a content item on a plurality of client computing devices;

one or more computing devices configured to;

receive additional usage data indicating an output of the content item on an additional client computing device during a specified period of time;

determine that the specified period of time does not correspond to a break point of a set of break points indicating that the additional usage data should not be combined with the historical usage data;

in response to determining that the specified period of time does not correspond to the break point;

aggregate the additional usage data and the historical usage data to form aggregate usage data; and

store the aggregate usage data as usage data for the specified period of time;

receive a request for usage data indicating output of the content item between a first point in time and a second point in time;

in response to the received request, determine a plurality of break points, from the set of break points, that occur between the first point in time specified in the request and the second point in time specified within the request and, for individual break points of the plurality of break points, retrieve aggregate usage data corresponding to the individual break point;

determine the usage data responsive to the request, at least partly by combining the aggregate usage data for the individual break points of the plurality of break points; and

transmit the determined usage data to a computing device associated with the received request.

9. The system of claim 8, wherein the content item corresponds to a web page.

10. The system of claim 8, wherein the historical usage data comprises an average time each portion of the content item was output on each of the plurality of client computing devices, a percentage of the plurality of client computing devices that output each portion of the content item for at least a threshold amount of time, or an average output movement speed of the plurality of computing devices during output of each portion of the content item.

11. The system of claim 8, wherein the set of break points correspond to a first day within each month.

12. The system of claim 8, wherein the usage data comprises information regarding portions of the content item output on the plurality of client computing devices.

13. The system of claim 11, wherein each of portion of the content item corresponds to a horizontal portion of the content item of a predefined height.

14. The system of claim 8, wherein the one or more computing devices are further configured to determine the usage data responsive to the request, at least partly by retrieving additional usage data for the content item corresponding to a time period between the second point and a most recent break point of the plurality of break points and by combining the additional usage data with the aggregate usage data for the individual break points of the plurality of break points.

15. A non-transitory, computer-readable storage medium having computer-executable instructions for generating page-level usage data corresponding to interaction with an item of content, wherein the computer-executable instructions, when executed by a computing system, cause the computing system to:

receive usage data indicating an output of a content item on a client computing device during a specified period of time;

determine that the specified period of time does not correspond to a break point of a set of break points, wherein the break point indicates that the received usage data should not be combined with historical usage data corresponding to prior output of the content item on a plurality of client computing devices; and

in response to said determination;

aggregate the usage data and the historical usage data to form aggregate usage data; and

store the aggregate usage data as usage data for the specified period of time;

receive a request for usage data indicating output of the content item between a first point in time and a second point in time;

in response to the received request, determine a plurality of break points, from the set of break points, that occur between the first point in time specified in the request and the second point in time specified within the request and, for individual break points of the plurality of break points, retrieve aggregate usage data corresponding to the individual break point;

determine the usage data responsive to the request at least partly by combining the aggregate usage data for the individual break points of the plurality of break points; and

transmit the determined usage data to a computing device associated with the received request.

16. The non-transitory, computer-readable storage medium of claim 15, wherein the content item corresponds to a web page.

17. The non-transitory, computer-readable storage medium of claim 15, wherein the historical usage data comprises an average time each portion of the content item was output on each of the plurality of client computing devices, a percentage of the plurality of client computing devices that output each portion of the content item for at least a threshold amount of time, or an average output movement speed of the plurality of computing devices during output of each portion of the content item.

18. The non-transitory, computer-readable storage medium of claim 15, wherein the set of break points correspond to a first day within each month.

19. The non-transitory, computer-readable storage medium of claim 15, wherein the usage data comprises information regarding portions of the content item output on the plurality of client computing devices.

20. The non-transitory, computer-readable storage medium of claim 19, wherein each of portion of the content item corresponds to a horizontal portion of the content item of a predefined height.

21. The non-transitory, computer-readable storage medium of claim 15, wherein the computer-executable instructions further cause the computing system to determine the usage data responsive to the request, at least partly by retrieving additional usage data for the content item corresponding to a time period between the second point and a most recent break point of the plurality of break points and by combining the additional usage data with the aggregate usage data for the individual break points of the plurality of break points.