Methods and systems for geospatial identification of media streams
Systems and methods are provided for identifying broadcast sources within a MapView system. A MapView system may display a first representation of a first geographical area that includes icons representing a location of broadcast sources. User characteristics may be extracted from a first user device associated with the MapView system. A machine-learning model may execute using the user characteristics to generate contemporaneous broadcast characteristics corresponding to a user of the first user device. The MapView system may then display a second representation of the geographical area that includes icons representing a location of different broadcast sources. The MapView system may then facilitate a presentation of particular broadcast source from the different broadcast sources.
1 . A computer-implemented method comprising:
displaying a first representation of a first geographical area including icons representing locations of a first set of broadcast sources within the first geographical area;
extracting user characteristics from a first user device, wherein the user characteristics include geospatial data indicative of a location of the first user device within the first geographical area;
receiving an identification of a second geographical area to simulate, wherein the second geographical area is different from the first geographical area;
executing a machine-learning model using the user characteristics and the identification of the second geographical area, the machine-learning model being configured to generate a prediction of contemporaneous broadcast characteristics associated with the second geographical area, wherein the contemporaneous broadcast characteristics include an identification of a simulated location of the first user device within the second geographical area;
displaying a second representation of the second geographical area based on the contemporaneous broadcast characteristics, wherein the second representation includes icons representing locations of a second set of broadcast sources within the second geographical area, and wherein the locations of the second set of broadcast sources are selected based on the simulated location of the first user device; and
facilitating a presentation of media from a particular broadcast source of the second set of broadcast sources.
2 . The computer-implemented method of claim 1 , wherein the first geographical area is Earth.
3 . The computer-implemented method of claim 1 , wherein the first geographical area is a fictional location.
4 . The computer-implemented method of claim 1 , wherein the location of the first user device is based on a global positioning system (GPS).
5 . The computer-implemented method of claim 1 , wherein the user characteristics further include activity data that indicates one or more activities associated with the first user device.
6 . The computer-implemented method of claim 1 , wherein the user characteristics further include historical activity data that indicates one or more activities associated with the first user device over a previous predetermined time interval.
7 . The computer-implemented method of claim 1 , wherein the contemporaneous broadcast characteristics includes a prediction of media that a user of the first user device would find of interest.
8 . A system comprising:
one or more processors; and
a non-transitory machine-readable medium storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations including:
displaying a first representation of a first geographical area; including icons representing locations of a first set of broadcast sources within the first geographical area;
extracting user characteristics from a first user device, wherein the user characteristics include geospatial data indicative of a location of the first user device within the first geographical area;
receiving an identification of a second geographical area to simulate, wherein the second geographical area is different from the first geographical area;
executing a machine-learning model using the user characteristics and the identification of the second geographical area, the machine-learning model being configured to generate a prediction of contemporaneous broadcast characteristics associated with the second geographical area, wherein the contemporaneous broadcast characteristics include an identification of a simulated location of the first user device within the second geographical area;
displaying a second representation of the second geographical area based on the contemporaneous broadcast characteristics, wherein the second representation includes icons representing locations of a second set of broadcast sources within the second geographical area, and wherein the locations of the second set of broadcast sources are selected based on the simulated location of the first user device; and
facilitating a presentation of media from a particular broadcast source of the second set of broadcast sources.
9 . The system of claim 8 , wherein the first geographical area is Earth.
10 . The system of claim 8 , wherein the first geographical area is a fictional location.
11 . The system of claim 8 , wherein the location of the first user device is based on a global positioning system (GPS).
12 . The system of claim 8 , wherein the user characteristics further include activity data that indicates one or more activities associated with the first user device.
13 . The system of claim 8 , wherein the user characteristics further include historical activity data that indicates one or more activities associated with the first user device over a previous predetermined time interval.
14 . The system of claim 8 , wherein the contemporaneous broadcast characteristics includes a prediction of media that a user of the first user device would find of interest.
15 . A non-transitory machine-readable medium storing instructions that when executed by one or more processors, cause the one or more processors to perform operations including:
displaying a first representation of a first geographical area including icons representing locations of a first set of broadcast sources within the first geographical area;
extracting user characteristics from a first user device, wherein the user characteristics include geospatial data indicative of a location of the first user device within the first geographical area;
receiving an identification of a second geographical area to simulate, wherein the second geographical area is different from the first geographical area;
executing a machine-learning model using the user characteristics and the identification of the second geographical area, the machine-learning model being configured to generate a prediction of contemporaneous broadcast characteristics associated with the second geographical area, wherein the contemporaneous broadcast characteristics include an identification of a simulated location of the first user device within the second geographical area;
displaying a second representation of the second geographical area based on the contemporaneous broadcast characteristics, wherein the second representation includes icons representing locations of a second set of broadcast sources within the second geographical area, and wherein the locations of the second set of broadcast sources are selected based on the simulated location of the first user device; and
facilitating a presentation of media from a particular broadcast source of the second set of broadcast sources.
16 . The non-transitory machine-readable medium of claim 15 , wherein the first geographical area is Earth.
17 . The non-transitory machine-readable medium of claim 15 , wherein the first geographical area is a fictional location.
18 . The non-transitory machine-readable medium of claim 15 , wherein the location of the first user device is based on a global positioning system (GPS).
19 . The non-transitory machine-readable medium of claim 15 , wherein the user characteristics further include activity data that indicates one or more activities associated with the first user device.
20 . The non-transitory machine-readable medium of claim 15 , wherein the contemporaneous broadcast characteristics includes a prediction of media that a user of the first user device would find of interest.