Systems and methods for generating transaction profile tags

A system for generating transaction profile tags, the system comprising:

• at least one processor programmed or configured to:
• receive a transaction profile including a plurality of recorded transactions;
• associate at least one transaction label from among a plurality of transaction labels with each of the plurality of recorded transactions, each transaction label associated with a transaction type;
• generate a set of pre-processed feature values corresponding to a set of profile features based on the plurality of recorded transactions from the transaction profile and the transaction labels corresponding to each of the plurality of recorded transactions, the set of profile features having a first dimension;
• process the set of pre-processed feature values with a macro-encoder to generate a first-reduced set of pre-processed feature values corresponding to a first-reduced set of profile features having a second dimension less than the first dimension;
• cluster the first-reduced set of pre-processed feature values into at least two subsets of first-reduced feature values, a first subset of first-reduced feature values associated with a first macro-profile tag and a second subset of first-reduced feature values associated with a second macro-profile tag;
• tag the transaction profile with either the first macro-profile tag or the second macro-profile tag based on the clustering of the first-reduced set of feature values;
• process the set of pre-processed feature values with a micro-encoder selected from among a plurality of micro-encoders to generate a second-reduced set of pre-processed feature values, the micro-encoder selected based on the tagging of the transaction profile with either the first macro-profile tag or the second macro-profile tag;
• cluster the second-reduced set of feature values into a plurality of subsets of second-reduced feature values, each subset of second-reduced feature values associated with a micro-profile tag corresponding to a unique account profile type;
• and
• tag the transaction profile with the micro-profile tag based on the clustering of the second-reduced set of feature values,
• wherein the first macro-profile tag is associated with transaction profiles having features corresponding to low-threshold purchases, and the second macro-profile tag is associated with transaction profiles having features corresponding to high-threshold purchases.

A computer program product for generating transaction profile tags based on transaction profile activity comprising at least one non-transitory computer-readable medium including program instructions that, when executed by at least one processor, cause the at least one processor to:

• receive a transaction profile including a plurality of recorded transactions;
• associate at least one transaction label from among a plurality of transaction labels with each of the plurality of recorded transactions, each transaction label associated with a transaction type;
• generate a set of pre-processed feature values corresponding to a set of profile features based on the plurality of recorded transactions from the transaction profile and the transaction labels corresponding to each of the plurality of recorded transactions, the set of profile features having a first dimension;
• process the set of pre-processed feature values with a macro-encoder to generate a first-reduced set of pre-processed feature values corresponding to a first-reduced set of profile features having a second dimension less than the first dimension;
• cluster the first-reduced set of pre-processed feature values into at least two subsets of first-reduced feature values, a first subset of first-reduced feature values associated with a first macro-profile tag and a second subset of first-reduced feature values associated with a second macro-profile tag;
• tag the transaction profile with either the first macro-profile tag or the second macro-profile tag based on the clustering of the first-reduced set of feature values;
• process the set of pre-processed feature values with a micro-encoder selected from among a plurality of micro-encoders to generate a second-reduced set of pre-processed feature values, the micro-encoder selected based on the tagging of the transaction profile with either the first macro-profile tag or the second macro-profile tag;
• cluster the second-reduced set of feature values into a plurality of subsets of second-reduced feature values, each subset of second-reduced feature values associated with a micro-profile tag corresponding to a unique account profile type;
• tag the transaction profile with the micro-profile tag based on the clustering of the second-reduced set of feature values;
• and
• determine an ordering of at least two subsets of first-reduced feature values.