Dynamic radius threshold selection

1. A data processing system for dynamically selecting content for a computing device, comprising:

a computing device comprising a processor, a memory device storing a data structure, and a network interface; and

wherein the network interface is configured to receive, from a client computing device, a first feature set comprising a location of the client computing device determined via a location sensor of the client computing device, a query input into the client computing device, and a movement status of the client computing device;

wherein the processor is configured to:

for each of a plurality of entities around the location of the client computing device:

identify a plurality of radii, each associated with a unique combination of features of the first feature set, a second feature set associated with the entity, and an identifier associated with the entity in the data structure, wherein each unique combination of features is associated with a predetermined radius of the plurality of radii,

calculate a radius threshold for the entity based on an average of the identified radii for the entity, and

determine a distance between the entity and the location of the client computing device, and

either:

identify the entity as eligible, responsive to the distance between the entity and the location of the client computing device being less than or equal to the radius threshold for the entity, or

identify the entity as ineligible, responsive to the distance between the entity and the location of the client computing device being greater than the radius threshold for the entity; and

select an item of content associated with at least one eligible entity of the plurality of entities; and

wherein the network interface is further configured to transmit the selected item of content to the client computing device for display.

2. The system of claim 1 , wherein the second feature set comprises a popularity value and performance value associated with a plurality of distances for each of the plurality of entities.

3. The system of claim 1 , wherein the network interface is further configured to:

receive, from the client computing device, the query input comprising an entity identifier; and

determine a location of the entity corresponding to the entity identifier.

4. The system of claim 1 , wherein the movement status of the client computing device indicates walking, driving, or stationary status.

5. The system of claim 1 , wherein the plurality of entities comprises a first entity and a second entity;

wherein the processor is further configured to:

calculate a first radius threshold for the first entity based on an average of the identified radii for the first entity;

calculate a second radius threshold for the second entity based on an average of the identified radii for the second entity, the second radius threshold greater than the first radius threshold;

determine a first distance between the first entity and the location of the client computing device and a second distance between the second entity and the location of the client computing device, the first distance less than the second distance;

identify the first entity as ineligible, based on the distance between the first entity and the location of the client computing device greater than the first radius threshold; and

identify the second entity as eligible, based on the distance between the second entity and the location of the client computing device less than or equal to the second radius threshold.

6. The system of claim 1 , wherein the plurality of entities around the location of the client computing device consist of a plurality of entities within a predetermined spherical distance from the client computing device.

7. The system of claim 1 , wherein the distance between the entity and the location of the client computing device comprises an absolute distance or a travel distance.

8. The system of claim 1 , wherein each feature of the second feature set is associated with a feature weight; and

wherein the processor is further configured to identify a subset of features of the second feature set based on each feature weight; and

wherein the unique combination of features comprises the identified subset of features of the second feature set.

9. The system of claim 1 , wherein the processor is further configured to:

analyze historical query inputs using a machine learning engine; and

identify the plurality of radii for the feature set responsive to analyzing the historical query inputs.

10. The system of claim 1 , wherein the processor determines the distance between the entity and the location of the client computing device based on a travel time comprising walking, driving, biking, or public transportation time.

11. A method for dynamically selecting content for a computing device, comprising:

receiving, by a network interface of a computing device, from a client computing device, a first feature set comprising a location of the client computing device determined via a location sensor of the client computing device, a query input into the client computing device, and a movement status of the client computing device;

for each of a plurality of entities around the location of the client computing device:

identifying, by a processor of the computing device, a plurality of radii, each associated with a unique combination of features of the first feature set, a second feature set associated with the entity, and an identifier associated with the entity in a data structure of a memory device of the computing device, wherein each unique combination of features is associated with a predetermined radius of the plurality of radii,

calculating, by the processor, a radius threshold for the entity based on an average of the identified radii for the entity, and

determining, by the processor, a distance between the entity and the location of the client computing device, and

either:

identifying, by the processor, the entity as eligible, responsive to the distance between the entity and the location of the client computing device being less than or equal to the radius threshold for the entity, or

identifying, by the processor, the entity as ineligible, responsive to the distance between the entity and the location of the client computing device being greater than the radius threshold for the entity; and

selecting, by the processor, an item of content associated with at least one eligible entity of the plurality of entities; and

transmitting, by the network interface, the selected item of content to the client computing device for display.

12. The method of claim 11 , wherein the second feature set comprises a popularity value and performance value associated with a plurality of distances for each of the plurality of entities.

13. The method of claim 11 , further comprising:

receiving, by the network interface, from the client computing device, the query input comprising an entity identifier; and

determining, by the network interface, a location of the entity corresponding to the entity identifier.

14. The method of claim 11 , wherein the movement status of the client computing device indicates walking, driving, or stationary status.

15. The method of claim 11 , wherein the plurality of entities comprises a first entity and a second entity,

further comprising:

calculating, by the processor of the computing device, a first radius threshold for the first entity based on an average of the identified radii for the first entity;

calculating, by the processor, a second radius threshold for the second entity based on an average of the identified radii for the second entity, the second radius threshold greater than the first radius threshold;

determining, by the processor, a first distance between the first entity and the location of the client computing device and a second distance between the second entity and the location of the client computing device, the first distance less than the second distance;

identifying, by the processor, the first entity as ineligible, based on the distance between the first entity and the location of the client computing device greater than the first radius threshold; and

identifying, by the processor, the second entity as eligible, based on the distance between the second entity and the location of the client computing device less than or equal to the second radius threshold.

16. The method of claim 11 , wherein the distance between the entity and the location of the client computing device comprises an absolute distance or a travel distance.

17. The method of claim 11 , wherein each feature of the second feature set is associated with a feature weight; and

further comprising identifying, by the processor, a subset of features of the second feature set based on each feature weight; and

wherein the unique combination of features comprises the identified subset of features of the second feature set.

18. The method of claim 11 , further comprising:

analyzing, by the processor, historical query inputs using a machine learning engine; and

identifying, by the processor, the plurality of radii for the feature set responsive to analyzing the historical query inputs.

19. The method of claim 11 , further comprising determining, by the processor, the distance between the entity and the location of the client computing device based on a travel time comprising walking, driving, biking, or public transportation time.