Providing results to parameterless search queries

1. A method comprising:

determining, by a computing system, a current context of a mobile computing device;

responsive to determining the current context of the mobile computing device, identifying, by the computing system and based on the current context of the mobile computing device, one or more previous contexts;

executing, by the computing system, based at least in part on the current context of the mobile computing device and the one or more previous contexts, a parameterless search query to identify one or more results determined to be relevant to a user of the mobile computing device; and

sending, by the computing system, to the mobile computing device, the one or more results.

2. The method of claim 1 , further comprising:

identifying, by the computing system, based at least in part on the one or more previous contexts, one or more result categories determined to likely be relevant to the user of the mobile computing device, wherein the one or more results are associated with the one or more result categories.

3. The method of claim 2 , further comprising:

receiving, by the computing system, an indication of whether any user considered the one or more result categories to be relevant;

selecting, by the computing system and based on the indication of whether any user considered the one or more result categories to be relevant, a portion of the one or more results associated with one or more previous contexts, the one or more previous contexts of being determined to have a threshold degree of similarity to the current context of the mobile computing device; and

identifying, by the computing system, based at least in part on the portion of the one or more results associated with the one or more previous contexts, the one or more result categories.

4. The method of claim 1 , wherein the one or more previous contexts include one or more previous contexts of the mobile computing device.

5. The method of claim 1 , wherein the one or more previous contexts include one or more previous contexts of computing devices associated with users other than the user.

6. The method of claim 1 , further comprising:

receiving, by the computing system, user behavior data associated with the one or more previous contexts; and

determining, by the computing system and based on the user behavior data, one or more result categories likely to be relevant to the user of the mobile computing device, wherein the one or more results are associated with the one or more result categories.

7. The method of claim 6 , wherein the user behavior data includes an indication of whether a previous user found a particular result category from the one or more result categories to be relevant to the current context of the mobile computing device.

8. The method of claim 1 , wherein the current context includes a recent activity of the user on the mobile computing device, the method further comprising:

responsive to determining that information associated with at least a portion of the recent activity of the user has been updated since the user last engaged in the portion of the recent activity, identifying, by the computing system, the information associated with at least the portion of the recent activity of the user, wherein the one or more results includes the information associated with at least the portion of the recent activity of the user.

9. The method of claim 1 , wherein the computing system receives a parameterless search request from the mobile computing device in response to the mobile computing device receiving an input, the method further comprising:

selecting, by the computing system, based at least in part on a manner in which the input was received by the mobile computing device, a subsystem of the mobile computing device to use for providing the one or more results to the user, wherein the one or more results are provided using the selected subsystem of the mobile computing device.

10. The method of claim 1 , wherein the computing system is remote from the mobile computing device.

11. The method of claim 1 , wherein the computing system comprises the mobile computing device.

12. A computing system comprising:

an input subsystem that receives a request for a parameterless search query;

a context determination unit that, responsive to receiving the request for the parameterless search query, determines a current context of the mobile computing device and identifies, based on the current context of the mobile computing device, one or more previous contexts;

a result identification unit that executes, based at least in part on the current context of the mobile computing device and the one or more previous contexts, the parameterless search query to identify one or more results determined to be relevant to the user of the mobile computing device; and

an output subsystem that provides the one or more results to the mobile computing device.

13. The computing system of claim 12 , wherein the result identification unit identifies, based at least in part on the one or more previous contexts, one or more result categories determined to likely be relevant to the user of the mobile computing device, wherein the one or more results are associated with the one or more result categories.

14. The computing system of claim 13 , further comprising:

a data repository that stores user behavior data,

wherein the result identification unit retrieves, from the data repository, data that indicates whether the user considered previously identified results identified to be relevant, the data being associated with the one or more previous contexts, and selects a portion of the retrieved data associated with a portion of the one or more previous contexts determined to have a threshold degree of similarity to the current context of the mobile computing device,

wherein the one or more results are identified based on the selected portion of the retrieved data.

15. The computing system of claim 12 , further comprising:

a data repository that stores user behavior data,

wherein the result identification unit retrieves, from the data repository, data associated with the one or more previous contexts and determines, based on the user behavior data, one or more result categories likely to be relevant to the user of the mobile computing device, wherein the one or more results are associated with the one or more result categories.

16. The computing system of claim 15 , wherein the user behavior data includes an indication of whether a previous user found a particular result category from the one or more result categories to be relevant to the current context of the mobile computing device.

17. The computing system of claim 12 ,

wherein the context determination unit receives an indication of a recent activity of the user on the mobile computing device, and, responsive to determining that information associated with at least a portion of the recent activity of the user has been updated since the user last engaged in the portion of the recent activity, identifies the information associated with at least the portion of the recent activity of the user, wherein the one or more results includes the information associated with at least the portion of the recent activity of the user.

18. A non-transitory computer-readable storage medium encoded with instructions that, when executed, caused one or more processors to:

determine a current context of a mobile computing device;

responsive to determining the current context, identify, based on the current context of the mobile computing device, one or more previous contexts;

executing, based at least in part on the current context of the mobile computing device and the one or more previous contexts, a parameterless search query to identify one or more results determined to be relevant to a user of the mobile computing device; and

send, to the mobile computing device, the one or more results.

19. The non-transitory computer-readable storage medium of claim 18 , further encoded with instructions that, when executed, cause the one or more processors to:

receive user behavior data associated with the one or more previous contexts; and

determine, based on the user behavior data, one or more result categories likely to be relevant to the user of the mobile computing device, wherein the one or more results are associated with the one or more result categories.

20. The non-transitory computer-readable storage medium of claim 18 , wherein the current context includes a recent activity of the user on the mobile computing device, and wherein the non-transitory computer-readable storage medium is further encoded with instructions that, when executed, cause the one or more processors to:

determine that information associated with at least a portion of the recent activity of the user has been updated since the user last engaged in the portion of the recent activity; and

identify the information associated with at least the portion of the recent activity of the user, wherein the one or more results includes the information associated with at least the portion of the recent activity of the user.