Granted Patent B2

US 12,242,826 · App. 18/464,001 · Granted Mar 4, 2025

Inventors: Nikolas Louis Ciminelli (Buffalo, NY); Tom Zeev Jacob Palny (Tel Aviv-Yaffo, IL); Ron Zass (Kiryat Tivon, IL)

G06F8/38G06F3/04842G06F3/04845G06F3/04847G06F3/0487G06F8/71G06F9/451G06F40/253G06F40/30G06F40/40G06F40/58G06T11/60G06V30/422

Abstract

Claims (69)

1. A non-transitory computer readable medium storing a software program comprising data and computer implementable instructions that when executed by at least one processor cause the at least one processor to perform operations for learning to personalize user interfaces, the operations comprising:

accessing a plurality of historic digital experience records, each historic digital experience record of the plurality of historic digital experience records is associated with an historic digital experience of a respective individual with a respective user interface and associates a characteristic of the respective individual with a design of the respective user interface and an indication of a respective level of success;

analyzing the plurality of historic digital experience records to determine a mathematical mapping of individuals to a mathematical space;

receiving first digital data associated with a first individual, the first individual is not associated with any one of the plurality of historic digital experience records;

analyzing the first digital data using the mathematical mapping to identify a first mathematical object in the mathematical space;

using the first mathematical object to generate a first version of a design of a particular user interface;

transmitting first digital signals to a first computing device associated with the first individual, the first digital signals are configured to cause the first computing device to present the particular user interface based on the first version of the design of the particular user interface;

receiving second digital data associated with a second individual, the second individual is not associated with any one of the plurality of historic digital experience records;

analyzing the second digital data using the mathematical mapping to identify a second mathematical object in the mathematical space;

using the second mathematical object to generate a second version of the design of the particular user interface; and

transmitting second digital signals to a second computing device associated with the second individual, the second digital signals are configured to cause the second computing device to present the particular user interface based on the second version of the design of the particular user interface.

2. The non-transitory computer readable medium of claim 1 , wherein the operations further comprise:

accessing a base version of the design of the particular user interface;

using the base version of the design of the particular user interface and the first mathematical object to generate the first version of the design of the particular user interface; and

using the base version of the design of the particular user interface and the second mathematical object to generate the second version of the design of the particular user interface.

3. The non-transitory computer readable medium of claim 1 , wherein the operations further comprise:

receiving first textual data, the first textual data includes a description in the natural language of at least one characteristic of the first individual;

analyzing the first textual data to determine the first digital data, the first digital data is based on the at least one characteristic of the first individual;

receiving second textual data, the second textual data includes a description in the natural language of at least one characteristic of the second individual; and

analyzing the second textual data to determine the second digital data, the second digital data is based on the at least one characteristic of the second individual.

4. The non-transitory computer readable medium of claim 1 , wherein the operations further comprise:

determining that the first individual is associated with a first population segment;

determining that the second individual is associated with a second population segment, the second population segment differs from the first population segment;

accessing a data-structure associating population segments with digital records based on the first population segment to obtain the first digital data; and

accessing the data-structure based on the second population segment to obtain the second digital data.

5. The non-transitory computer readable medium of claim 1 , wherein the first digital data includes an indication of a first physical location associated with the first individual, the second digital data includes an indication of a second physical location associated with the second individual, the identification of the first mathematical object is based on the first physical location associated with the first individual, and the identification of the second mathematical object is based on the second physical location associated with the second individual.

6. The non-transitory computer readable medium of claim 1 , wherein the first digital data includes an indication of a demographic characteristic of the first individual, the second digital data includes an indication of a demographic characteristic of the second individual, the identification of the first mathematical object is based on the demographic characteristic of the first individual, and the identification of the second mathematical object is based on the demographic characteristic of the second individual.

7. The non-transitory computer readable medium of claim 1 , wherein the first digital data includes an indication of a behavior pattern associated with the first individual, the second digital data includes an indication of a behavior pattern associated with the second individual, the identification of the first mathematical object is based on the behavior pattern associated with the first individual, and the identification of the second mathematical object is based on the behavior pattern associated with the second individual.

8. The non-transitory computer readable medium of claim 1 , wherein the first digital data includes an indication of a virtual location associated with the first individual, the second digital data includes an indication of a virtual location associated with the second individual, the identification of the first mathematical object is based on the virtual location associated with the first individual, and the identification of the second mathematical object is based on the virtual location associated with the second individual.

9. The non-transitory computer readable medium of claim 1 , wherein the first digital data includes an indication of a social group associated with the first individual, the second digital data includes an indication of a social group associated with the second individual, the identification of the first mathematical object is based on the social group associated with the first individual, and the identification of the second mathematical object is based on the social group associated with the second individual.

10. The non-transitory computer readable medium of claim 1 , wherein the second version of the design of the particular user interface differs from the first version of the design of the particular user interface in at least a layout of elements of the particular user interface.

11. The non-transitory computer readable medium of claim 1 , wherein the second version of the design of the particular user interface differs from the first version of the design of the particular user interface in at least a color scheme.

12. The non-transitory computer readable medium of claim 1 , wherein the second version of the design of the particular user interface differs from the first version of the design of the particular user interface in at least a font used to present textual content in the particular user interface.

13. The non-transitory computer readable medium of claim 1 , wherein the operations further comprise:

receiving from a particular individual a textual input in a natural language, the textual input is indicative of a trait of individuals; and

analyzing the textual input and the plurality of historic digital experience records to determine the mathematical mapping.

14. The non-transitory computer readable medium of claim 1 , wherein the operations further comprise:

receiving from a particular individual a textual input in a natural language, the textual input is associated with a desire of the particular individual to affect the design of the particular user interface;

using the textual input and the first mathematical object to generate the first version of the design of the particular user interface; and

using the textual input and the second mathematical object to generate the second version of the design of the particular user interface.

15. The non-transitory computer readable medium of claim 1 , wherein the operations further comprise: identifying a third mathematical object in a mathematical space, the third mathematical object corresponds to a word of the textual input; calculating a function of the first mathematical object and the third mathematical object to obtain a fourth mathematical object in the mathematical space; basing the generation of the first version of the design of the particular user interface on the fourth mathematical object; calculating a function of the second mathematical object and the third mathematical object to obtain a fifth mathematical object in the mathematical space; and basing the generation of the second version of the design of the particular user interface on the fifth mathematical object.

16. The non-transitory computer readable medium of claim 1 , wherein the operations further comprise:

receiving from a particular individual a sketch, the sketch is associated with the desire of the particular individual to affect the design of the particular user interface;

using the sketch and the first mathematical object to generate the first version of the design of the particular user interface; and

using the sketch and the second mathematical object to generate the second version of the design of the particular user interface.

17. The non-transitory computer readable medium of claim 1 , wherein the sketch includes a plurality of pixel values, and the operations further comprise: calculating a convolution of at least part of the pixel values of the sketch to obtain a result value; calculating a function of the first mathematical object and the result value to obtain a third mathematical object in a mathematical space; basing the generation of the first version of the design of the particular user interface on the third mathematical object; calculating a function of the second mathematical object and the result value to obtain a fourth mathematical object in the mathematical space; and basing the generation of the second version of the design of the particular user interface on the fourth mathematical object.

18. The non-transitory computer readable medium of claim 1 , wherein the analyzing the plurality of historic digital experience records to determine the mathematical mapping includes using an optimization scheme with an objective function based on the levels of success to determine the mathematical mapping.

19. A system for learning to personalize user interfaces, the system comprising at least one processing unit configured to perform operations, the operations comprise:

accessing a plurality of historic digital experience records, each historic digital experience record of the plurality of historic digital experience records is associated with an historic digital experience of a respective individual with a respective user interface and associates a characteristic of the respective individual with a design of the respective user interface and an indication of a respective level of success;

analyzing the plurality of historic digital experience records to determine a mathematical mapping of individuals to a mathematical space;

receiving first digital data associated with a first individual, the first individual is not associated with any one of the plurality of historic digital experience records;

analyzing the first digital data using the mathematical mapping to identify a first mathematical object in the mathematical space;

using the first mathematical object to generate a first version of a design of a particular user interface;

transmitting first digital signals to a first computing device associated with the first individual, the first digital signals are configured to cause the first computing device to present the particular user interface based on the first version of the design of the particular user interface;

receiving second digital data associated with a second individual, the second individual is not associated with any one of the plurality of historic digital experience records;

analyzing the second digital data using the mathematical mapping to identify a second mathematical object in the mathematical space;

using the second mathematical object to generate a second version of the design of the particular user interface; and

transmitting second digital signals to a second computing device associated with the second individual, the second digital signals are configured to cause the second computing device to present the particular user interface based on the second version of the design of the particular user interface.

20. A method for learning to personalize user interfaces, the method comprising:

accessing a plurality of historic digital experience records, each historic digital experience record of the plurality of historic digital experience records is associated with an historic digital experience of a respective individual with a respective user interface and associates a characteristic of the respective individual with a design of the respective user interface and an indication of a respective level of success;

analyzing the plurality of historic digital experience records to determine a mathematical mapping of individuals to a mathematical space;

receiving first digital data associated with a first individual, the first individual is not associated with any one of the plurality of historic digital experience records;

analyzing the first digital data using the mathematical mapping to identify a first mathematical object in the mathematical space;

using the first mathematical object to generate a first version of a design of a particular user interface;

transmitting first digital signals to a first computing device associated with the first individual, the first digital signals are configured to cause the first computing device to present the particular user interface based on the first version of the design of the particular user interface;

receiving second digital data associated with a second individual, the second individual is not associated with any one of the plurality of historic digital experience records;

analyzing the second digital data using the mathematical mapping to identify a second mathematical object in the mathematical space;

using the second mathematical object to generate a second version of the design of the particular user interface; and

transmitting second digital signals to a second computing device associated with the second individual, the second digital signals are configured to cause the second computing device to present the particular user interface based on the second version of the design of the particular user interface.

Assignments (1)

Continuity (8)

References Cited (96)