Dynamic parameterization of digital maps

A method comprising:

• receiving, by a processing device, a request associated with one or more map views associated with a map accessed by a client computing device;
• transmitting, by the processing device to the client computing device, a first set of one or more map views;
• receiving, by the processing device, a user input associated with the display of the at least one map view of the first set of one or more map views, the user input being associated with at least one display characteristic associated with the first set of one or more map views, wherein the user input comprises cognitive information associated with the user;
• determining, by the processing device and based on the received cognitive information, a cognitive state of the user associated with the least one map view;
• generating, by the processing device and based on the cognitive state of the user associated with the at least one map view, a cognitive model that simulates interaction by the user with one or more features displayed on the at least one map view, wherein the simulation accounts for the cognitive state of the user, wherein the generated cognitive model is used to simulate how the user identifies one or more labels in a cluttered area of the map;
• constraining, by the processing device and based on the generated cognitive model, a problem space associated with the at least one map view by reducing a machine learning feature space based on the simulation of how the user identifies the one or more labels in the cluttered area of the map, wherein the reduced machine learning feature space reduces one or more underlying features a machine learning model accounts for based on the cognitive state of the user;
• determining, by the processing device, a mapping context function based on the user input, the mapping context function being based on one or more user actions associated with one or more features on at least one previously accessed map;
• modifying, by the processing device, a second set of one or more map views based (i) on the mapping function, (ii) on the generated cognitive model, and (iii) on the constrained problem space associated with the at least one map view, wherein the modifying includes identifying one or more better placements associated with the one or more labels based on the reduced feature space;
• and
• transmitting, by the processing device, the modified second set of one or more map views.

A method comprising:

• transmitting, by a client computing device to a processing device, a request associated with one or more map views associated with a map accessed by the client computing device;
• receiving, by the client computing device, a first set of one or more map views;
• generating, by the client computing device, a display of at least one map view of the first set of one or more map views;
• receiving, by the client computing device, a user input associated with the display of the at least one map view of the first set of one or more map views;
• transmitting, by the client computing device to the processing device, a message associated with the user input associated with display of the at least one map view of the first set of the one or more map views, wherein the user input comprises cognitive information associated with the user;
• receiving, by the client computing device from the processing device, a second set of one or more map views, the second set of one or more map views being based on:
• (i) a mapping context function that is based on the transmitted message and on one or more user actions associated with one or more features on at least one previously accessed map,
• (ii) a cognitive model, wherein the cognitive model is generated by the processing device based on a cognitive state of the user associated with the at least one map view, the cognitive state of the user being based on the received cognitive information, wherein the cognitive model simulates interaction by the user with one or more features displayed on the at least one map view, wherein the simulation accounts for the cognitive state of the user, wherein the generated cognitive model is used to simulate how the user identifies one or more labels in a cluttered area of the map, and
• (iii) a constrained problem space based on the generated cognitive model, the constrained problem space being associated with the at least one map view by reducing a machine learning feature space based on the simulation of how the user identifies the one or more labels in the cluttered area of the map, wherein the reduced machine learning feature space reduces one or more underlying features a machine learning model accounts for based on the cognitive state of the user;
• and
• generating, by the client computing device, a display at least one of the received second set of one or more map views, wherein the received second set of one or more map views is modified based (i) on the mapping context function, (ii) on the generated cognitive model, and (iii) on the constrained problem space associated with the at least one map view, wherein the modifying includes identifying one or more better placements associated with the one or more labels based on the reduced feature space.