US 12,443,960 B2
Multi-dimensional coded representations of entities
Suryadeep Tiwari, Chennai (IN); Vidhya Chandrasekaran, Chennai (IN); Angadhjot Hundal, San Francisco, CA (US); and Richard Yen-Ching Lee, Los Gatos, CA (US)
Assigned to PAYPAL, INC., San Jose, CA (US)
Filed by PAYPAL, INC., San Jose, CA (US)
Filed on Nov. 4, 2022, as Appl. No. 18/052,743.
Claims priority of application No. 202241052677 (IN), filed on Sep. 15, 2022.
Prior Publication US 2024/0095743 A1, Mar. 21, 2024
Int. Cl. G06Q 20/40 (2012.01); G06Q 30/0204 (2023.01); G06Q 30/0601 (2023.01)
CPC G06Q 20/4016 (2013.01) [G06Q 30/0205 (2013.01); G06Q 30/0601 (2013.01)] 20 Claims
OG exemplary drawing
 
7. A method, comprising:
detecting, by a computer system, first changes to a first plurality of account characteristics corresponding to a first characteristic category and associated with a user account of a user based on monitoring a first type of interaction behavior of the user with the computer system during a time period;
generating, by the computer system, a first machine-readable code for representing the first changes associated with the user account during the time period, wherein the first machine-readable code comprises (i) a first dimension representing a plurality of time frames within the time period and (ii) a second dimension representing the first plurality of account characteristics, and wherein a first change of the first changes to a first characteristic in the first plurality of characteristics occurring in a first time frame of the plurality of time frames is represented by a first visual representation in a first block corresponding to the first characteristic and the first time frame in the first machine-readable code;
detecting, by the computer system, second changes to a second plurality of characteristics corresponding to a second characteristic category and associated with the user account based on monitoring a second type of interaction behavior of the user with the computer system during the time period;
generating, by the computer system, a second machine-readable code for representing the second changes associated with the user account during the time period, wherein the second machine-readable code (i) comprises the first dimension representing the plurality of time frames within the time period and (ii) a third dimension representing the second plurality of account characteristics, and wherein a second change of the second changes to a second characteristic in the second plurality of characteristics occurring within a second time frame of the plurality of time frames is represented by a second visual representation in a second block corresponding to the second characteristic and the second time frame in the second machine-readable code;
generating, by the computer system, a merged code based on merging the first machine-readable code and the second machine-readable code;
providing, by the computer system, attributes associated with the merged code to a machine learning model configured to (i) detect at least one area in the merged code represented by a third visual representation that is a combination of the first visual representation and the second visual representation based on the attributes associated with the merged code, and (ii) determine one or more overlapping changes between the first account characteristic and the second account characteristic within a particular time frame of the plurality of time frames;
determining, by the computer system, a first attribute associated with the user account based on an output from the machine learning model; and
processing, by the computer system, a transaction request associated with the user account based on the first attribute.