Location information processing method and apparatus
Systems, methods, and storage media for location information processing are disclosed. An example of a method comprises: obtaining transaction information from user terminals of a plurality of users using a service provided by a service provider, the transaction information comprising a plurality of pieces of location information of the user terminals; clustering, using an algorithm, the plurality of pieces of location information into a plurality of areas; determining a transaction attribute corresponding to each area in the plurality of areas, the transaction attribute comprising a number of users in a corresponding area and a number of transactions of users using the service in the corresponding area; determining, according to information entropy values of the transaction attributes, a dispersity of the service provided by the service provider according to a number of areas in the plurality of areas and a plurality of transaction attributes corresponding to the plurality of areas.
1. A location information processing method, comprising:
scanning, by a plurality of user terminals, a two-dimensional code or a barcode provided by a service provider;
collecting, by a server from the plurality of user terminals, a plurality of location coordinates of the plurality of user terminals when the plurality of user terminals scan the two-dimensional code or the barcode;
clustering, by the server using a computer algorithm, the plurality of location coordinates into a plurality of areas;
determining, by the server, a transaction attribute corresponding to each area in the plurality of areas, the transaction attribute comprising a number of users in a corresponding area and a number of transactions of users using the service in the corresponding area;
determining, by the server according to information entropy values of the transaction attributes, a dispersity numerical value of the service provided by the service provider according to a number of areas in the plurality of areas and a plurality of transaction attributes corresponding to the plurality of areas; and
determining, by the server according to the dispersity numerical value, whether the two-dimensional code or the barcode was scanned offline or online by the plurality of user terminals.
2. The method according to claim 1 , wherein the collecting, from a plurality of user terminals, a plurality of location coordinates comprises:
collecting, from the plurality of user terminals, the plurality of location coordinates via a Location Based Service.
3. The method according to claim 1 , wherein, before the clustering the plurality of location coordinates into a plurality of areas, the method further comprises:
removing location coordinates exceeding a pre-determined range from the plurality of location coordinates.
4. The method according to claim 1 , wherein the computer algorithm comprises:
a GEOHASH algorithm or a DBSCAN algorithm.
5. The method according to claim 1 , wherein the determining a dispersity numerical value of the service provided by the service provider comprises determining the dispersity numerical value using the following equation:
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wherein Spread(b i ) represents the dispersity numerical value, i,j=1, . . . , m, m represents the number of areas, b i represents a transaction attribute corresponding to the i th area, and b j represents a transaction attribute corresponding to the j th area, and wherein the information entropy values of the transaction attributes are represented by
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6. The method according to claim 1 , wherein the determining a dispersity numerical value of the service provided by the service provider comprises determining the dispersity numerical value using the following equation:
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wherein Spread(b i ) represents the dispersity numerical value, i,j=1, . . . , m, m represents the number of areas, b i represents a transaction attribute corresponding to the i th area, and b j represents a transaction attribute corresponding to the j th area.
7. The method according to claim 1 , wherein the plurality of location coordinates comprise latitude and longitude information.
8. One or more non-transitory computer-readable storage media storing instructions executable by one or more processors, wherein execution of the instructions causes the one or more processors to perform operations comprising:
scanning, respectively at a plurality of user terminals, a two-dimensional code or a barcode provided by a service provider;
collecting, from the plurality of user terminals, a plurality of location coordinates of the plurality of user terminals when the plurality of user terminals respectively scan the two-dimensional code or the barcode;
clustering, using a computer algorithm, the plurality of location coordinates into a plurality of areas;
determining a transaction attribute corresponding to each area in the plurality of areas, the transaction attribute comprising a number of users in a corresponding area and a number of transactions of users using the service in the corresponding area;
determining, according to information entropy values of the transaction attributes, a dispersity numerical value of the service provided by the service provider according to a number of areas in the plurality of areas and a plurality of transaction attributes corresponding to the plurality of areas; and
determining, according to the dispersity numerical value, whether the two-dimensional code or the barcode was scanned offline or online by the plurality of user terminals.
9. The one or more non-transitory computer-readable storage media according to claim 8 , wherein the collecting, from the plurality of user terminals, a plurality of location coordinates comprises:
collecting, from the plurality of user terminals, the plurality of location coordinates via a Location Based Service.
10. The one or more non-transitory computer-readable storage media according to claim 8 , wherein, before the clustering the plurality of location coordinates into a plurality of areas, the operations further comprise:
removing location coordinates exceeding a pre-determined range from the plurality of location coordinates.
11. The one or more non-transitory computer-readable storage media according to claim 8 , wherein the computer algorithm comprises:
a GEOHASH algorithm or a DBSCAN algorithm.
12. The one or more non-transitory computer-readable storage media according to claim 8 , wherein the determining a dispersity numerical value of the service provided by the service provider comprises determining the dispersity numerical value using the following equation:
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wherein Spread(b i ) represents the dispersity numerical value, i,j=1, . . . , m, m represents the number of areas, b i represents a transaction attribute corresponding to the i th area, and b j represents a transaction attribute corresponding to the j th area, and wherein the information entropy values of the transaction attributes are represented by
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13. The one or more non-transitory computer-readable storage media according to claim 8 , wherein the determining a dispersity numerical value of the service provided by the service provider comprises determining the dispersity numerical value using the following equation:
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wherein Spread(b i ) represents the dispersity numerical value, i,j=1, . . . , m, m represents the number of areas, b i represents a transaction attribute corresponding to the i th area, and b j represents a transaction attribute corresponding to the j th area.
14. The one or more non-transitory computer-readable storage media according to claim 8 , wherein the plurality of location coordinates comprise latitude and longitude information.
15. A system, comprising one or more processors and one or more non-transitory computer-readable storage media storing instructions executable by the one or more processors, wherein execution of the instructions causes the one or more processors to perform operations comprising:
scanning, respectively at a plurality of user terminals, a two-dimensional code or a barcode provided by a service provider;
collecting, from the plurality of user terminals, a plurality of location coordinates of the plurality of user terminals when the plurality of user terminals respectively scan the two-dimensional code or the barcode;
clustering, using a computer algorithm, the plurality of location coordinates into a plurality of areas;
determining a transaction attribute corresponding to each area in the plurality of areas, the transaction attribute comprising a number of users in a corresponding area and a number of transactions of users using the service in the corresponding area;
determining, according to information entropy values of the transaction attributes, a dispersity numerical value of the service provided by the service provider according to a number of areas in the plurality of areas and a plurality of transaction attributes corresponding to the plurality of areas; and
determining, according to the dispersity numerical value, whether the two-dimensional code or the barcode was scanned offline or online by the plurality of user terminals.
16. The system according to claim 15 , wherein the collecting, from a plurality of user terminals, a plurality of location coordinates comprises:
collecting, from the plurality of user terminals, the plurality of location coordinates via a Location Based Service.
17. The system according to claim 15 , wherein, before the clustering the plurality of location coordinates into a plurality of areas, the operations further comprise:
removing location coordinates exceeding a pre-determined range from the plurality of location coordinates.
18. The system according to claim 15 , wherein the computer algorithm comprises:
a GEOHASH algorithm or a DBSCAN algorithm.
19. The system according to claim 15 , wherein the determining a dispersity numerical value of the service provided by the service provider comprises determining the dispersity numerical value using the following equation:
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wherein Spread(b i ) represents the service dispersity numerical value, i,j=1, . . . , m, m represents the number of areas, b i represents a transaction attribute corresponding to the i th area, and b j represents a transaction attribute corresponding to the j th area, and wherein the information entropy values of the transaction attributes are represented by
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20. The system according to claim 15 , wherein the determining a dispersity numerical value of the service provided by the service provider comprises determining the dispersity numerical value using the following equation:
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wherein Spread(b i ) represents the dispersity numerical value, i,j=1, . . . , m, m represents the number of areas, b i represents a transaction attribute corresponding to the i th area, and b j represents a transaction attribute corresponding to the j th area.