CONTEXT-SWITCHING TAXONOMY FOR MOBILE ADVERTISEMENT

• US 20140297407A1
• Filed: 04/01/2013
• Published: 10/02/2014
• Est. Priority Date: 04/01/2013
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Sanghavi, Mehul K., Greenzeiger, Michael Froimowitz, Phulari, Ravindra
• Granted Patent: US 9,342,842 B2
• Time in Patent Office: Days
• US Class Current: 705/14.53
• CPC Class Codes: G06Q 30/0249 based upon budgets or funds
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Systems, methods, and non-transitory computer-readable storage media for mobile advertisement based on a context-switching context taxonomy. The system collects usage data associated with a device. Based on the usage data, the system determines a switching context channel and a switching context trend, wherein the switching context channel defines a user'"'"'s movement through channel classifications, and wherein the switching context trend defines the user'"'"'s activity over a period of time. Next, the system generates a classification model based on the switching context channel and the switching context trend. The system then books a campaign of invitational content based on the classification model.

Claims

1. A method comprising:

collecting usage data associated with a device;

based on the usage data, determining a switching context channel and a switching context trend, wherein the switching context channel defines a user'"'"'s movement through channel classifications, and wherein the switching context trend defines the user'"'"'s activity over a period of time;

generating a classification model based on the switching context channel and the switching context trend; and

booking a campaign of invitational content based on the classification model.

2. The method of claim 1, wherein the device comprises a mobile device, and wherein the user is associated with the device.

3. The method of claim 1, further comprising:

based on the usage data, determining at least one from a switching context speed, a switching context time, and a switching context infrequent application, the switching context speed comprising a speed at which the user changes context, the switching context time comprising the user'"'"'s context behavior at a specific time, and the switching context infrequent application comprising an application infrequently used by the user from the mobile device; and

generating the classification model based on at least one of the switching context speed, the switching context time, and the switching context infrequent application.

4. The method of claim 1, wherein the classification model comprises a context-switching taxonomy.

5. The method of claim 1, wherein booking the campaign is further based on a channel-based taxonomy.

6. The method of claim 1, further comprising delivering content to the device, wherein the content is selected based on the campaign of invitational content.

7. The method of claim 1, further comprising based on the classification model, instructing the device to maintain a session of invitational content after the user switches context, wherein the context comprises an activity.

8. The method of claim 1, further comprising based on the classification model, instructing the device to deliver new invitational content to the device after a period of time.

9. The method of claim 1, further comprising based on the classification model, instructing the device to deliver new invitational content to the device when the user switches context, wherein the context comprises an activity.

10. The method of claim 1, wherein the campaign of invitational content comprises a sequence of mobile advertisements selected and ordered based on the classification model.

11. The method of claim 1, wherein the classification model classifies invitational content and maps the invitational content to content at the device based on at least one of the switching context channel, the switching context trend, a switching context speed, a switching context time, and a switching context infrequent application, the switching context speed comprising a speed at which the user changes context, the switching context time comprising the user'"'"'s context behavior at a specific time, and the switching context infrequent application comprising an application infrequently used by the user from the device.

12. The method of claim 1, further comprising:

based on the usage data, determining a switching context speed comprising a speed at which the user changes context;

when the user is in a fast context switching mode, instructing the device to deliver to the user invitational content selected from a local pool of invitational content.

13. The method of claim 12, wherein a delivery of the invitational content to the user is counted towards an overall delivery of the campaign of invitational content at a different price than other invitational content delivered as part of the campaign of invitational content.

14. The method of claim 1, wherein the classification model comprises a context-switching taxonomy, and wherein the context-switching taxonomy is implemented for at least one of forecasting, booking campaign, building an advertisement creative, and targeting invitational content.

15. A computer-readable medium storing instructions which, when executed by a processor, cause the processor to perform operations comprising:

based on data collected about a user'"'"'s activities at a device, determining switching context characteristics associated with the device, the switching context characteristics comprising at least one of a switching context channel, a switching context trend, a switching context speed, a switching context time, and a switching context application;

generating a classification model based on the switching context characteristics; and

based on the classification model, selecting invitational content for presentation to the user at the device.

16. The computer-readable medium of claim 15, wherein the switching context channel defines a user'"'"'s movement through channel classifications, wherein the switching context trend defines the user'"'"'s activity over a period of time, wherein the switching context speed comprises a speed at which the user changes context, wherein the switching context time comprises the user'"'"'s context behavior at a specific time, and wherein the switching context application comprises a frequency of use of an application by the user at the device.

17. The computer-readable medium of claim 15, wherein the classification model comprises a context-switching taxonomy.

18. The computer-readable medium of claim 15, storing additional instructions which, when executed by the processor, result in operations further comprising based on the classification model, instructing the device to maintain a session of invitational content after the user switches context, wherein the context comprises an activity.

19. The computer-readable medium of claim 15, storing additional instructions which, when executed by the processor, result in operations further comprising based on the classification model, instructing the device to deliver new invitational content to the device when the user switches context, wherein the context comprises an activity.

20. The computer-readable medium of claim 15, wherein the classification model classifies invitational content and maps the invitational content to content at the device based on switching context characteristics.

21. A system comprising:

a processor; and

a computer-readable medium having stored therein instructions which, when executed by the processor, cause the processor to perform operations comprising;

receiving usage data associated with a device;

based on the usage data, determining a switching context channel and a switching context trend, wherein the switching context channel defines a user'"'"'s movement through channel classifications, and wherein the switching context trend defines the user'"'"'s activity over a period of time;

generating a classification model based on the switching context channel and the switching context trend; and

booking a campaign of invitational content based on the classification model.

22. The system of claim 21, wherein the classification model classifies invitational content and maps the invitational content to content at the device based on at least one of the switching context channel, the switching context trend, a switching context speed, a switching context time, and a switching context infrequent application, the switching context speed comprising a speed at which the user changes context, the switching context time comprising the user'"'"'s context behavior at a specific time, and the switching context infrequent application comprising an application infrequently used by the user from the device.

23. The system of claim 21, the computer-readable medium storing additional instructions which, when executed by the processor, result in operations further comprising:

based on the usage data, determining at least one from a switching context speed, a switching context time, and a switching context infrequent application, the switching context speed comprising a speed at which the user changes context, the switching context time comprising the user'"'"'s context behavior at a specific time, and the switching context infrequent application comprising an application infrequently used by the user from the mobile device; and

generating the classification model based on at least one of the switching context speed, the switching context time, and the switching context infrequent application.