Providing content based on event related information

• US 9,843,649 B1
• Filed: 08/02/2014
• Issued: 12/12/2017
• Est. Priority Date: 08/02/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Hampson, Courtney, Sanio, Jason Robert Richard
• Primary Examiner(s): Henderson, Esther B.
• Assistant Examiner(s): Kennedy, Lesa
• Application Number:
  US14/450,212
• Time in Patent Office: 1,228 Days
• Field of Search: None
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0252 based on events or environment, e.g. weather or festivals
• CPC Class Codes: G06Q 30/0264 based upon schedule
• CPC Class Codes: H04L 67/62 Establishing a time schedule for servicing the requests

Abstract

Systems and methods for selecting content based on an event associated with a device identifier are provided. One or more processors can receive a request to serve content. The processors can identify a device identifier associated with the request. The processors can determine, from the device identifier, an event for which to serve content. The processors can determine, from the request, a length of time between a time the request to serve content is received and a time at which the event is scheduled to occur. The processors can select, based on the determined length of time and event parameters associated with the event, content for display and provide the selected content for display at a computing device associated with the device identifier.

Claims

1. A method of selecting content based on events associated with device identifiers in a computer network environment, comprising:

receiving, by a data processing system having one or more processors and via a computer network, a request to serve third-party content at a computing device;

identifying, by the data processing system, a device identifier associated with the computing device;

determining, by the data processing system, from the device identifier, a calendar event and event parameters associated with the calendar event;

determining, by the data processing system, from the request, a length of time between a time the request to serve content is received and a time at which the calendar event is scheduled to occur;

generating, by the data processing system, one or more data structures including a plurality of keyword clusters, the plurality of keyword clusters based on the event parameters associated with the calendar event and based on the length of time between the time the request to serve content is received and the time at which the calendar event is scheduled to occur;

accessing, by the data processing system, the one or more data structures to select at least one keyword of a keyword cluster of the plurality of keyword clusters, the keyword cluster selected based on the length of time;

selecting, by the data processing system, content using the at least one keyword of the keyword cluster; and

providing, via the computer network, the content to the computing device associated with the device identifier to cause the computing device to display the content.

2. The method of claim 1, comprising:

determining the time at which the calendar event is scheduled to occur;

determining a location at which the calendar event is scheduled; and

determining a type of event.

3. The method of claim 1, comprising:

determining the time the request to serve content is received.

4. The method of claim 1, comprising:

determining, from the event parameters, the plurality of keyword clusters; and

selecting, from the plurality of keyword clusters, the keyword cluster of the plurality of keyword clusters having a highest relevancy score corresponding to the length of time.

5. The method of claim 1, wherein the event parameters include at least one of an event category, an event title, an event description, an event size, and an event location.

6. The method of claim 1, comprising:

maintaining, by the data processing system, the data structure including the plurality of keyword clusters associated with one or more of the event parameters and a relevancy score corresponding to a plurality of time periods, each of the plurality of time periods based on a length of time associated with a time at which the event is scheduled to occur.

7. The method of claim 1, comprising:

determining, based on the length of time, a relevancy score for each of the plurality of keyword clusters associated with the event parameters;

determining, from the plurality of keyword clusters, the keyword cluster with the highest relevancy score; and

selecting, for display, content related to the keyword cluster with the highest relevancy score.

8. A system for selecting content based on events associated with device identifiers in a computer network environment, comprising:

a memory; and

one or more processors configured to;

receive, via a computer network, a request to serve third-party content at a computing device;

identify a device identifier associated with the computing device;

determine, from the device identifier, a calendar event and event parameters associated with the calendar event;

determine, from the request, a length of time between a time the request to serve content is received and a time at which the calendar event is scheduled to occur;

generate one or more data structures including a plurality of keyword clusters, the plurality of keyword clusters based on the event parameters associated with the calendar event and based on the length of time between the time the request to serve content is received and the time at which the calendar event is scheduled to occur;

access the one or more data structures to select at least one keyword of a keyword cluster of the plurality of keyword clusters, the keyword cluster selected based on the length of time;

select content using the at least one keyword of the keyword cluster; and

provide the content to the computing device associated with the device identifier to cause the computing device to display the content.

9. The system of claim 8, comprising the one or more processors configured to:

determine the time at which the calendar event is scheduled;

determine a location at which the calendar event is scheduled; and

determine a type of event.

10. The system of claim 8, comprising the one or more processors configured to:

determine the time the request to serve content is received.

11. The system of claim 8, comprising the one or more processors configured to:

determine, from the event parameters, the plurality of keyword clusters; and

select, from the plurality of keyword clusters, the keyword cluster having a highest relevancy score corresponding to the length of time.

12. The system of claim 8, wherein the event parameters include an event category, an event title, an event description, an event size, and an event location.

13. The system of claim 8, comprising the one or more processors configured to:

maintain the data structure including the plurality of keyword clusters with one or more event parameters and a relevancy score corresponding to a plurality of time periods, each time period based on a length of time associated with a time at which the calendar event is scheduled to occur.

14. The system of claim 8, comprising the one or more processors configured to:

determine, based on the length of time, a relevancy score for each of the plurality of keyword clusters associated with the event parameters; and

determine, from the plurality of keyword clusters, the keyword cluster with the highest relevancy score; and

select, for display, content related to the keyword cluster with the highest relevancy score.

15. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by one or more processors, cause the one or more processors to perform operations comprising:

receive, via a computer network, a request to serve third-party content at a computing device;

identify a device identifier associated with the computing device;

determine, from the device identifier, a calendar event and event parameters associated with the calendar event;

determine, from the request, a length of time between a time the request to serve content is received and a time at which the calendar event is scheduled to occur;

generate one or more data structures including a plurality of keyword clusters, the plurality of keyword clusters based on the event parameters associated with the calendar event and based on the length of time between the time the request to serve content is received and the time at which the calendar event is scheduled to occur;

access the one or more data structures to select at least one keyword of a keyword cluster of the plurality of keyword clusters, the keyword cluster selected based on the length of time;

select content using the at least one keyword of the keyword cluster; and

provide the content to the computing device associated with the device identifier to cause the computing device to display the content.

16. The computer-readable storage medium of claim 15, having further computer-executable instructions stored thereon, which when executed by any of the one or more processors, cause any of the one or more processors to:

determine the time at which the calendar event is scheduled;

determine a location at which the calendar event is scheduled; and

determine a type of event.

17. The computer-readable storage medium of claim 15, having further computer-executable instructions stored thereon, which when executed by any of the one or more processors, cause any of the one or more processors to:

determine the time the request to serve content is received.

18. The computer-readable storage medium of claim 15, having further computer-executable instructions stored thereon, which when executed by any of the one or more processors, cause any of the one or more processors to:

determine, from the event parameters, the plurality of keyword clusters; and

select, from the plurality of keyword clusters, the keyword cluster having a highest relevancy score corresponding to the length of time between the time the request to serve content is received and the time at which the calendar event is scheduled to occur.

19. The computer-readable storage medium of claim 15, wherein the event parameters include an event category, an event title, an event description, an event size, and an event location.

20. The computer-readable storage medium of claim 15, having further computer-executable instructions stored thereon, which when executed by any of the one or more processors, cause any of the one or more processors to:

maintain the data structure including the plurality of keyword clusters associated with one or more event parameters and a relevancy score corresponding to a plurality of time periods, each time period based on a length of time associated with a time at which the event is scheduled to occur.