Using the short form information people tend to use in their calendar locations (not full address or GPS location), machine learning techniques are used to map gathered location information to these short form names.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A device comprising: at least one non-transitory computer readable storage medium with instructions executable by at least one processor to configure the processor for: receiving geographic location information from at least one source of location information; receiving calendar information from at least one data storage; correlating at least one calendar data set from the calendar information with at least first and second location data sets derived from the location information based at least in part on the first and second data sets temporally overlapping with the calendar data set to render first and second correlations: associating the first and second correlations with respective first and second confidence measures, each confidence measure being based at least in part on a length of temporal overlap between the respective location data set and the calendar data set; selecting one of the correlations based at least in part on a relationship between respective confidence measures; and outputting user information associated with the calendar data set and the location data set associated with the correlation selected based at least in part on the confidence measures. 2. The device of claim 1, wherein the instructions when executed by the at least one processor configure the processor for: determining a confidence measure based at least in part on a length of temporal overlap between the respective location data set and the calendar data set and a number of times the respective correlation has been recorded in temporally discontinuous recordings. 3. The device of claim 1, wherein the instructions when executed by the at least one processor configure the processor for: selecting the first correlation based at least in part on the first confidence measure being greater than the second confidence measure. 4. The device of claim 1, wherein the source of location information is a location data set storage. 5. The device of claim 4, wherein the location data set storage includes geographically determinate names correlated to GPS locations. 6. The device of claim 1, wherein the user information includes an electronic map showing a geographic location of a place in the calendar data set, the calendar data set not including the geographic location. 7. The device of claim 1, wherein the user information includes alpha-numeric driving directions to a place in the calendar data set, the calendar data set not including the geographic location. 8. The device of claim 1, wherein the calendar data set includes a start time, an end time, and a geographically indeterminate place name. 9. Method comprising: accessing geographically indeterminate calendar information; accessing geographically determinate location information; associating, with a name from the calendar information, a location from the geographically determinate location, information based on a number of temporally disjoint times the location has temporally overlapped the name from the calendar information; and outputting user information related to a calendar event involving the name from the calendar information and including an indication of the location. 10. The method of claim 9, wherein the name from the calendar information is part of a calendar set including a start time and an end time and the location is part of a location data set including a location name, a start time, and an end time, and the temporal overlap is determined using the start times and end times of the calendar data set and location data set. 11. The method of claim 10, comprising: correlating at least one calendar data set from the calendar information with at least first and second location, data sets derived from, the location information based at least in part on the first and second data sets temporally overlapping with the calendar data set to render first and second correlations. 12. The method of claim 11, comprising: associating the first and second correlations with respective first and second confidence measures, each confidence measure being based at least in part on a length of temporal overlap between the respective location data set and the calendar data set. 13. The method of claim 12, comprising: selecting one of the correlations based at least in part on a relationship between respective confidence measures; and outputting the user information based at least in part on the confidence measures. 14. The method of claim 13, comprising: determining a confidence measure based at least in part on a length of temporal overlap between the respective location data set and the calendar data set and a number of times the respective correlation has been recorded in temporally discontinuous recordings. 15. The method of claim 13, comprising: selecting the first con-elation based at least in part on the first confidence measure being greater than the second confidence measure. 16. Device comprising: at least one computer memory bearing instructions; and at least one processor configured for accessing the memory to execute the instructions to configure the processor to: determine whether a temporal overlap exists between a calendar data set in an electronic calendar and a location data set in a location data set storage; for each location data set temporally overlapping with the calendar data set, determine a number of times the location date set temporally overlaps with the calendar data set; return as a correlation with the calendar data set the location data set whose number of times of overlap with the calendar data set and at least one period of overlap with the calendar data set is superior to any other location data set in the location data set storage. 17. The device of claim 16, wherein the instructions when executed by the processor configure the processor to: establish a confidence measure of each calendar data set-to-location data set association based at least in part on a length of a temporal period the calendar data set overlaps the location data set. 18. The device of claim 16, wherein the calendar data set includes no geographically determinate names or information and the location data set includes a geographically determinate name or information. 19. The device of claim 16 wherein the instructions when executed by the processor configure the processor to: output on a display device user information associated with the calendar data set and the location data set. 20. The device of claim 16, wherein the instructions when executed by the at least one processor configure the processor to: select a first correlation based at least in part on an associated first confidence measure being greater than a second confidence measure associated with a second correlation.