Dynamic generation of user interface controls
Disclosed here are methods and systems for dynamically generating user interface controls. In one embodiment, a method comprises receiving, via a search input element, an input; generating an input vector corresponding to the input; identifying a set of user interface controls matching the input, the identifying including comparing the input vector to a set of user interface control vectors; and providing the matching set of interactive user interface controls for presentation on a single user interface page.
1. A computer-implemented method comprising:
receiving, by a processor via a search input element, an input to adjust appearance of a user interface;
generating, by the processor, an input vector corresponding to the input;
identifying, by the processor, an existing set of user interface controls matching the input, the identifying including comparing the input vector to a set of user interface control vectors; and
providing, by the processor, a set of interactive input elements representing the matching set of user interface controls configured to adjust appearance of the user interface for presentation on a single user interface page.
2. The method of claim 1 , further comprising:
predicting, by the processor using an artificial intelligence model, an intent of the input or the input vector.
3. The method of claim 2 , further comprising:
training, by the processor, the artificial intelligence model using a selection of at least one user interface control within the provided set of user interface controls.
4. The method of claim 1 , wherein providing, by the processor, the matching set of user interface controls comprises arranging, by the processor, the matching set of user interface controls based on a distance between the input vector and the set of user interface control vectors.
5. The method of claim 1 , further comprising:
instructing, by the processor, a server to revise a user interface in accordance with the input or the input vector.
6. The method of claim 1 , further comprising:
displaying, by the processor, a current value of the user interface.
7. The method of claim 1 , wherein the input vector indicates an intent associated with the input.
8. The method of claim 1 , wherein the set of user interface control vectors corresponds to the set of user interface controls.
9. A non-transitory machine-readable storage medium having computer-executable instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
receive, via a search input element, an input to adjust appearance of a user interface;
generate an input vector corresponding to the input;
identify an existing set of user interface controls matching the input, the identifying including comparing the input vector to a set of user interface control vectors; and
provide a set of interactive input elements representing the matching set of user interface controls configured to adjust appearance of the user interface for presentation on a single user interface page.
10. The non-transitory machine-readable storage medium of claim 9 , wherein the computer-executable instructions further cause the one or more processors to predict, using an artificial intelligence model, an intent of the input or the input vector.
11. The non-transitory machine-readable storage medium of claim 10 , wherein the computer-executable instructions further cause the one or more processors to train the artificial intelligence model using a selection of at least one user interface control within the provided set of user interface controls.
12. The non-transitory machine-readable storage medium of claim 9 , wherein providing the matching set of user interface controls comprises arranging the matching set of user interface controls based on a distance between the input vector and the set of user interface control vectors.
13. The non-transitory machine-readable storage medium of claim 9 , wherein the computer-executable instructions further cause the one or more processors to instruct a server to revise a user interface in accordance with the input or the input vector.
14. The non-transitory machine-readable storage medium of claim 9 , wherein the computer-executable instructions further cause the one or more processors to display a current value of the user interface.
15. The non-transitory machine-readable storage medium of claim 9 , wherein the input vector indicates an intent associated with the input.
16. The non-transitory machine-readable storage medium of claim 9 , wherein the set of user interface control vectors corresponds to the set of user interface controls.
17. A computer system comprising:
a computing device;
a server in communication with the computing device, the server configured to:
receive, via a search input element, an input to adjust appearance of a user interface;
generate an input vector corresponding to the input;
identify an existing set of user interface controls matching the input, the identifying including comparing the input vector to a set of user interface control vectors; and
provide a set of interactive input elements representing the matching set of user interface controls configured to adjust appearance of the user interface for presentation on a single user interface page.
18. The method of claim 17 , wherein the server is further configured to predict, using an artificial intelligence model, an intent of the input or the input vector.
19. The method of claim 18 , wherein the server is further configured to train the artificial intelligence model using a selection of at least one user interface control within the provided set of user interface controls.
20. The method of claim 17 , wherein providing the matching set of user interface controls comprises arranging the matching set of user interface controls based on a distance between the input vector and the set of user interface control vectors.