Systems and methods to determine location of media items

1. A computer-implemented method comprising:

determining, by a computing system, a pairwise distance value between a hash value that has been generated for an evaluation content item and a hash value that has been generated for each content item of a plurality of content items associated with location information and assigned to a group of a plurality of groups, wherein the evaluation content item is associated with a position subject to a range of error;

generating, by the computing system, a score for each group of the plurality of groups based on a combination of distance values for the group; and

determining, by the computing system, at least one location associated with the evaluation content item based on scores for the plurality of groups.

2. The computer-implemented method of claim 1 , further comprising:

assigning each content item of the plurality of content items to a group of the plurality of groups based on the location information, wherein the plurality of groups are associated with a plurality of locations.

3. The computer-implemented method of claim 2 , wherein assignment of the content item to the group satisfies a threshold confidence level.

4. The computer-implemented method of claim 1 , further comprising:

determining an area based on application of a threshold radius value to the position associated with the evaluation content item; and

selecting the plurality of content items from a set of content items based on locations associated with the plurality of content items that fall within the area.

5. The computer-implemented method of claim 1 , further comprising:

applying a weight to each distance value.

6. The computer-implemented method of claim 5 , wherein the weight is based on an exponential decay function.

7. The computer-implemented method of claim 1 , further comprising:

sorting the scores for the plurality of groups;

selecting at least one group based on application of a threshold selection value to the sorted scores; and

providing to a user the at least one location as a candidate location for the evaluation content item, the at least one location associated with the selected at least one group.

8. The computer-implemented method of claim 1 , wherein the location information is at least one of a place, an address, a residence, an establishment, and other type of location.

9. The computer-implemented method of claim 1 , wherein the combination of distance values for the group is a summation of weighted distance values for the group.

10. A system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the system to perform:

determining a pairwise distance value between a hash value that has been generated for an evaluation content item and a hash value that has been generated for each content item of a plurality of content items associated with location information and assigned to a group of a plurality of groups, wherein the evaluation content item is associated with a position subject to a range of error;

generating a score for each group of the plurality of groups based on a combination of distance values for the group; and

determining at least one location associated with the evaluation content item based on scores for the plurality of groups.

11. The system of claim 10 , further comprising:

assigning each content item of the plurality of content items to a group of the plurality of groups based on the location information, wherein the plurality of group groups are associated with a plurality of locations.

12. The system of claim 10 , further comprising:

determining an area based on application of a threshold radius value to the position associated with the evaluation content item; and

selecting the plurality of content items from a set of content items based on locations associated with the plurality of content items that fall within the area.

13. The system of claim 10 , further comprising:

applying a weight to each distance value.

14. The system of claim 10 , wherein the combination of distance values for the group is a summation of weighted distance values for the group.

15. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:

determining a pairwise distance value between a hash value that has been generated for an evaluation content item and a hash value that has been generated for each content item of a plurality of content items associated with location information and assigned to a group of a plurality of groups, wherein the evaluation content item is associated with a position subject to a range of error;

generating a score for each group of the plurality of groups based on a combination of distance values for the group; and

determining at least one location associated with the evaluation content item based on scores for the plurality of groups.

16. The non-transitory computer-readable storage medium of claim 15 , further comprising:

assigning each content item of the plurality of content items to a group of the plurality of groups based on the location information, wherein the plurality of group groups are associated with a plurality of locations.

17. The non-transitory computer-readable storage medium of claim 15 , further comprising:

determining an area based on application of a threshold radius value to the position associated with the evaluation content item; and

selecting the plurality of content items from a set of content items based on locations associated with the plurality of content items that fall within the area.

18. The non-transitory computer-readable storage medium of claim 15 , further comprising:

applying a weight to each distance value.

19. The non-transitory computer-readable storage medium of claim 15 , wherein the combination of distance values for the group is a summation of weighted distance values for the group.