User description based on a context of travel
View Patent ↗A description of a user is estimated based on the context of the user's travel pattern. A disclosed data-processing system continually receives data points originating from the user's cell phone, for example, wherein each data point represents a visit by the user to a particular geolocation, at a particular time. The system then partitions the received data points into groups, wherein the groups represent the different places that the user has visited. The system counts how many data points are in each group. Based on the number of data points in each group, as well as the number of groups, the system then determines the entropy of the received data points that correspond to the particular user, which is also regarded as the entropy of the user's travel pattern. The data-processing system then estimates a user description for the user, based at least in part on the determined user entropy.
1. A method comprising:
receiving, by a data-processing system, a plurality of data points D that correspond to a first user, wherein each data point in the plurality of data points D represents a visit by the first user, the visit occurring at one or both of i) a determinable geolocation and ii) a determinable time, and wherein the plurality of data points comprises at least a first data point that occurs at a first time t 1 , d(t 1 );
determining, by the data-processing system, an entropy of the plurality of data points D, based on a number of predetermined places to which the data points in the plurality of data points D correspond; and
estimating, by the data-processing system, a description of the first user, wherein the description is based on the determined entropy.
2. The method of claim 1 wherein the plurality of data points D further comprises a second data point that occurs at a second time t 2 , d(t 2 ), and wherein the determined entropy depends on whether the first data point d(t 1 ) and the second data point d(t 2 ) correspond to different places or the same place visited by the first user.
3. The method of claim 1 further comprising determining, by the data-processing system, a number of different places visited by the first user.
4. The method of claim 3 further comprising determining, by the data-processing system, a non-empty set of places that can be visited, wherein the number of different places visited by the first user is based on the non-empty set of places that can be visited.
5. The method of claim 4 wherein the determining the non-empty set of places that can be visited is based on applying grid cells to a predetermined geographic area.
6. The method of claim 5 further comprising determining a dimension of each of the grid cells, based on a predetermined characteristic of the first user.
7. The method of claim 6 wherein the predetermined characteristic of the first user is related to distance traveled.
8. The method of claim 1 further comprising partitioning, by the data-processing system, the plurality of data points D into N groups, wherein N is an integer greater than one, and wherein each group of the N groups corresponds to a different place visited by the first user.
9. The method of claim 1 wherein the determined entropy of the plurality of data points D corresponds to a predetermined daypart.
10. The method of claim 9 wherein the first data point d(t 1 ) occurs during the predetermined daypart, and wherein the plurality of data points D further comprises a second data point that occurs at a second time t 2 , d(t 2 ), and wherein the determined entropy depends on whether the second data point d(t 2 ) occurs during a different daypart or the predetermined daypart.
11. A method comprising:
receiving, by a data-processing system, a plurality of data points D that correspond to a first user, wherein each of the data point in the plurality of data points D represents a visit by the first user, the visit occurring at one or both of i) a determinable geolocation and ii) a determinable time, and wherein the plurality of data points D comprises at least a first data point that occurs at a first time t 1 , d (t 1 );
determining, by the data-processing system, an entropy of the plurality of data points D, based on a number of predetermined places to which the data points in the plurality of data points D correspond; and
transmitting, by the data-processing system, a signal indicating an action to be performed, wherein the action to be performed is based on the determined entropy.
12. The method of claim 11 wherein the determined entropy of the plurality of data points D corresponds to a predetermined first daypart, and wherein the action to be performed is based on the determined entropy for the predetermined first daypart.
13. The method of claim 12 wherein the first data point d(t 1 ) occurs during the predetermined first daypart, and wherein the plurality of data points D further comprises a second data point that occurs at a second time t 2 , d(t 2 ), and wherein the determined entropy depends on whether the second data point d(t 2 ) occurs during a different daypart or the predetermined first daypart.
14. The method of claim 12 further comprising determining, by the data-processing system, an entropy of the plurality of data points D for a predetermined second daypart, wherein the action to be performed is based on both i) the determined entropy for the predetermined first daypart and ii) the determined entropy for the predetermined second daypart.
15. The method of claim 11 further comprising identifying, by the data-processing system, a first user segment that is based on the determined entropy.
16. The method of claim 15 wherein the action to be performed comprises associating one or more users with the identified first user segment.
17. A method comprising:
receiving, by a data-processing system, a plurality of data points D that correspond to a first user, wherein each data point in the plurality of data points D represents a visit by the first user, the visit occurring at one or both of i) a determinable geolocation and ii) a determinable time, and wherein the plurality of data points comprises at least a first data point that occurs at a first time t 1 , d(t 1 );
determining, by the data-processing system, a first entropy of the plurality of data points D, based on a number of places to which the data points in the plurality of data points D correspond in relation to a predetermined first non-empty set of places that can be visited;
determining, by the data-processing system, a second entropy of the plurality of data points D, based on a number of different places to which the data points in the plurality of data points D correspond in relation to a predetermined second non-empty set of places that can be visited, wherein the places in the predetermined first non-empty set of places and the places in the predetermined second non-empty set of places are of different geographic size; and
transmitting, by the data-processing system, a signal indicating an action to be performed, wherein the action to be performed is based on one or both of i) the determined first entropy and ii) the determined second entropy.
18. The method of claim 17 wherein the action to be performed is based on both i) the determined first entropy and ii) the determined second entropy.
19. The method of claim 17 further comprising determining, by the data-processing system, a first set of places that can be visited, the first set of places to correspond to the predetermined first non-empty set of places.
20. The method of claim 19 wherein the determining the first set of places that can be visited is based on applying grid cells to a predetermined geographic area.