GEO-FENCE VALUATION SYSTEM

• US 20180225687A1
• Filed: 02/03/2017
• Published: 08/09/2018
• Est. Priority Date: 02/03/2017
• Status: Active Grant

• Current Assignee: Snap, Inc.
• Original Assignee: Snap, Inc.
• Inventors: Ahmed, Samir, Azmoodeh, Farnaz, Penner, Kevin Lee
• Granted Patent: US 10,915,911 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences

Abstract

Disclosed, is a geo-fence valuation system to: access usage data at a server system, the usage data collected from a set of client devices located within a geo-fenced area, and wherein the usage data comprises data objects, wherein each data object includes at least a device identifier of a source device of the usage data, and location data; identify one or more data types of the location data, wherein the data types indicate a level of precision of the location data; determine a geodensity of the geo-fenced area based on the usage data, wherein the geodensity indicates at least a number of client devices located within the geo-fenced area; and augments the geodensity of the geo-fence based on the one or more data types of the location data.

Claims

1. A computer-implemented method comprising:

accessing usage data at a server system, the usage data collected from a set of client devices located within a geo-fence, the usage data includes location data that identifies a location encompassed by the geo-fence;

identifying a data type of the location data, the data type indicating a precision of the location data;

determining a geodensity of the geo-fence based on the usage data, the geodensity indicating a number of client devices within the location encompassed by the geo-fence; and

augmenting, by one or more processors, the geodensity of the geo-fence based on the data type of the location data.

2. The computer-implemented method of claim 1, wherein the usage data includes an event identifier that identifies an event, and the method further comprises:

determining an event category of the event based on the event identifier; and

determining a usage-density of the event category based on the usage data.

3. The computer-implemented method of claim 2, wherein the event identifier is a first event identifier, the event is a first event, the event category is a first event category, and the method further comprises:

receiving, at the server system, a media distribution request from a content distributor, wherein the media distribution request includes media content, a second event identifier and a location identifier that identifies the location encompassed by the geo-fence;

determining the second event identifier corresponds to a second event, wherein the second event is of the first event category; and

calculating a price-schedule to distribute the media content within the location identified by the location identifier based on the usage density of the first event category and the geodensity of the geo-fence.

4. The computer-implemented method of claim 2, wherein the method further comprises:

calculating a price-schedule based on the geodensity of the geo-fence and the usage-density of the first event category; and

wherein the calculating the price-schedule is based on a weighted linear model.

5. The computer-implemented method of claim 1, wherein the data type of the location data includes Global Positioning Sensor (GPS) data, cellular data, and Wi-Fi data.

6. The computer-implemented method of claim 1, wherein the location data comprises multiple data types, and wherein the multiple data types include at least a first data type of a maximum precision, and a second data type of a minimum precision, and wherein the augmenting, by the one or more processors, the geodensity of the geo-fence based on the data type includes:

extracting a subset of usage data from the usage data, wherein the subset of usage data includes the second data type;

determining the geodensity of the geo-fence based on the usage data that includes the first data type.

7. The computer-implemented method of claim 1, wherein the location data comprises multiple data types, and wherein the multiple data types include at least a first data type of a maximum precision, and a second data type of a minimum precision, and wherein the augmenting, by the one or more processors, the geodensity of the geo-fence based on the data type includes:

extracting a subset of usage data from the usage data, wherein the subset of usage data includes the second data type;

splitting the subset of the usage data extracted from the usage data; and

determining the geodensity of the geo-fence based on the usage data that includes the first data type and the halved subset of the usage data.

8. A system comprising:

a memory; and

at least one hardware processor couple to the memory and comprising instructions that cause the system to perform operations comprising;

accessing usage data at a server system, the usage data collected from a set of client devices located within a geo-fence, wherein the usage data includes location data that identifies a location encompassed by the geo-fence;

identifying a data type of the location data, the data type indicating a precision of the location data;

determining a geodensity of the geo-fence based on the usage data, wherein the geodensity indicates a number of client devices within the location encompassed by the geo-fence; and

augmenting, by one or more processors, the geodensity of the geo-fence based on the data type of the location data.

9. The system of claim 8, wherein the usage data includes an event identifier that identifies an event, further comprising instructions that cause the system to perform operations comprising:

determining an event category of the event based on the event identifier; and

determining a usage-density of the event category based on the usage data.

10. The system of claim 9, wherein the event identifier is a first event identifier, the event is a first event, the event category is a first event category, further comprising instructions that cause the system to perform operations further comprising:

receiving, at the server system, a media distribution request from a content distributor, wherein the media distribution request includes media content, a second event identifier and a location identifier that identifies the location encompassed by the geo-fence;

determining the second event identifier corresponds to a second event, wherein the second event is of the first event category; and

calculating a price-schedule to distribute the media content within the location identified by the location identifier based on the usage density of the first event category and the geodensity of the geo-fence.

11. The system of claim 9, further comprising instructions that cause the system to perform operations further comprising:

calculating a price-schedule based on the geodensity of the geo-fence and the usage-density of the first event category; and

wherein the calculating the price-schedule is based on a weighted linear model.

12. The system of claim 8, wherein the data type of the location data includes Global Positioning Sensor (GPS) data, cellular data, and Wi-Fi data.

13. The system of claim 8, wherein the location data comprises multiple data types, and wherein the multiple data types include at least a first data type of a maximum precision, and a second data type of a minimum precision, and wherein the augmenting, by the one or more processors, the geodensity of the geo-fence based on the data type includes:

extracting a subset of usage data from the usage data, wherein the subset of usage data includes the second data type;

determining the geodensity of the geo-fence based on the usage data that includes the first data type.

14. The system of claim 8, wherein the location data comprises multiple data types, and wherein the multiple data types include at least a first data type of a maximum precision, and a second data type of a minimum precision, and wherein the augmenting, by the one or more processors, the geodensity of the geo-fence based on the data type includes:

extracting a subset of usage data from the usage data, wherein the subset of usage data includes the second data type;

halving the subset of the usage data extracted from the usage data; and

determining the geodensity of the geo-fence based on the usage data that includes the first data type and the halved subset of the usage data.

15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations including:

accessing usage data at a server system, the usage data collected from a set of client devices located within a geo-fence, wherein the usage data includes location data that identifies a location encompassed by the geo-fence;

identifying a data type of the location data, the data type indicating a precision of the location data;

determining a geodensity of the geo-fence based on the usage data, wherein the geodensity indicates a number of client devices within the location encompassed by the geo-fence; and

augmenting, by one or more processors, the geodensity of the geo-fence based on the data type of the location data.

16. The non-transitory machine-readable storage medium of claim 15, wherein the usage data includes an event identifier that identifies an event, further comprising instructions that cause the machine to perform operations including:

determining an event category of the event based on the event identifier; and

determining a usage-density of the event category based on the usage data.

17. The non-transitory machine-readable storage medium of claim 16, wherein the event identifier is a first event identifier, the event is a first event, the event category is a first event category, and further comprising instructions that cause the machine to perform operations including:

receiving, at the server system, a media distribution request from a content distributor, wherein the media distribution request includes media content, a second event identifier and a location identifier that identifies the location encompassed by the geo-fence;

determining the second event identifier corresponds to a second event, wherein the second event is of the first event category; and

calculating a price-schedule to distribute the media content within the location identified by the location identifier based on the usage density of the first event category and the geodensity of the geo-fence.

18. The non-transitory machine-readable storage medium of claim 16, further comprising instructions that cause the machine to perform operation including:

calculating a price-schedule based on the geodensity of the geo-fence and the usage-density of the first event category; and

wherein the calculating the price-schedule is based on a weighted linear model.

19. The non-transitory machine-readable storage medium of claim 15, wherein the data type of the location data includes Global Positioning Sensor (GPS) data, cellular data, and Wi-Fi data.

20. The non-transitory machine-readable storage medium of claim 15, wherein the location data comprises multiple data types, and wherein the multiple data types include at least a first data type of a maximum precision, and a second data type of a minimum precision, and wherein the augmenting, by the one or more processors, the geodensity of the geo-fence based on the data type includes:

extracting a subset of usage data from the usage data, wherein the subset of usage data includes the second data type;

determining the geodensity of the geo-fence based on the usage data that includes the first data type.