Prefetching Location Data

1 . A method comprising:

by a computing device, determining a location of a user;

by a client computing device, downloading information comprising a plurality of locations and places in a geographic region, the geographic region based at least in part on the location of the user;

by a client computing device, storing the information as data in a non-transitory computer-readable storage medium of the client computing device, the data accessible by the client computing device during a time that the device is offline.

2 . The method of claim 1 , wherein the geographic region is based at least in part on a speed with which the client device can download the information.

3 . The method of claim 1 , wherein the geographic region is based at least in part on a size of the information.

4 . The method of claim 1 , wherein the geographic region is based at least in part on a distance between the location and a perimeter of the geographic region.

5 . The method of claim 1 , wherein the geographic region is based at least in part on a geographic boundary.

6 . The method of claim 1 , wherein the geographic region is based at least in part on a time of day.

7 . The method of claim 1 , wherein:

the user is a user of a social-networking system comprising a graph comprising a plurality of nodes and a plurality of edges connecting the nodes, at least one node in the graph corresponding to the user; and

the geographic region is based at least in part on a check-in history for the user.

8 . The method of claim 7 , wherein the check-in history comprises an identification of one or more places that the user has previously checked in to.

9 . The method of claim 7 , wherein the check-in history comprises an identification of one or more types of places that the user has previously checked in to.

10 . The method of claim 1 , wherein:

the user is a user of a social-networking system comprising a graph comprising a plurality of nodes and a plurality of edges connecting the nodes, at least one node in the graph corresponding to the user; and

the geographic region is based at least in part on a check-in history for one or more second users, the second users being users of the social network.

11 . The method of claim 9 , wherein the geographic region is based at least in part on a popularity of one or more places within the geographic region, the popularity determined based at least in part on the check-in history for the one or more second users.

12 . The method of claim 1 , wherein the user is a user of a social-networking system comprising a graph comprising a plurality of nodes and a plurality of edges connecting the nodes, at least one node in the graph corresponding to the user, the method further comprising:

by the client computing device, identifying one or more places from the data; and

by the client computing device, presenting at least one of the one or more places to the user in association with a check-in for the user.

13 . The method of claim 12 , wherein identifying one or more places from the data comprises:

determining whether the client computing device is offline; and

when the client computing device is offline, identifying the one or more places.

14 . The method of claim 12 , wherein presenting at least one of the one or more places to the user comprises selecting, based at least in part on a check-in history for the user, the one or more places for presentation to the user.

15 . The method of claim 1 , wherein downloading information comprising a plurality of locations and places in a geographic region comprises:

determining a strength of a network connection; and

when the strength is below a threshold, downloading the information.

16 . The method of claim 1 , wherein downloading information comprising a plurality of locations and places in a geographic region comprises:

predicting a future strength of a network connection; and

when the strength is below a threshold, downloading the information.

17 . The method of claim 1 , further comprising:

by the client computing device, determining whether the client computing device is offline;

by the client computing device, when the client computing device is offline, receiving a query from the user;

by the client computing device, accessing the data in response to the query; and

by the client computing device, returning one or more locations or places in response to the query.

18 . One or more computer-readable non-transitory storage media in a client computing device embodying software that is operable when executed to:

determine a location of a user;

download information comprising a plurality of locations and places in a geographic region, the geographic region based at least in part on the location of the user;

store the information as data in a non-transitory computer-readable storage medium of the client computing device, the data accessible by the client computing device during a time that the device is offline.

19 . The media of claim 18 , wherein:

the user is a user of a social-networking system comprising a graph comprising a plurality of nodes and a plurality of edges connecting the nodes, at least one node in the graph corresponding to the user; and

the geographic region is based at least in part on a check-in history for one or more second users, the second users being users of the social network.

20 . A client computing device comprising:

one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:

determine a location of a user;

download information comprising a plurality of locations and places in a geographic region, the geographic region based at least in part on the location of the user;

store the information as data in a non-transitory computer-readable storage medium of the client computing device, the data accessible by the client computing device during a time that the device is offline.