Bulk contact recommendations based on attribute purchase history

A computer program product comprising computer-readable program code to be executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code including instructions to:

• create, by a database system, a directed graph of a plurality of nodes in which at least some of the plurality of nodes are connected by a plurality of directed arcs, wherein a number of outgoing directed arcs from each node is limited to a maximum number of outgoing directed arcs based on a dynamically changing corresponding conditional probability associated with each potential outgoing directed arc, each of the outgoing directed arcs being dynamically created based upon each dynamically changing corresponding conditional probability;
• identify, by the database system, a first compound attribute associated with a first plurality of contacts purchased by a current user, wherein the first compound attribute comprises a first attribute associated with a first value and also comprises a second attribute associated with a second value;
• identify, by the database system, a directed arc from a first node to a second node, wherein the directed arc is associated with a conditional probability that previous users who purchased a first contact associated with the first compound attribute also purchased a second contact associated with a second compound attribute, wherein the second compound attribute comprises the first attribute, which is associated with a third value which matches the first value, and also comprises the second attribute, which is associated with a fourth value, which lacks a match with the second value;
• and
• output, by the database system, a recommendation for the current user to purchase a second plurality of contacts associated with the second compound attribute based on determination that the conditional probability exceeds a probability threshold in response the current user purchasing the first plurality of contacts.

A computer-implemented method for bulk contact recommendations based on attribute purchase history, the method comprising:

• creating, by a database system, a directed graph of a plurality of nodes in which at least some of the plurality of nodes are connected by a plurality of directed arcs, wherein a number of outgoing directed arcs from each node is limited to a maximum number of outgoing directed arcs based on a dynamically changing corresponding conditional probability associated with each potential outgoing directed arc, each of the outgoing directed arcs being dynamically created based upon each dynamically changing corresponding conditional probability;
• identifying, by the database system, a first compound attribute associated with a first plurality of contacts purchased by a current user, wherein the first compound attribute comprises a first attribute associated with a first value and also comprises a second attribute associated with a second value;
• identifying, by the database system, a directed arc from a first node to a second node, wherein the directed arc is associated with a conditional probability that previous users who purchased a first contact associated with the first compound attribute also purchased a second contact associated with a second compound attribute, wherein the second compound attribute comprises the first attribute, which is associated with a third value which matches the first value, and also comprises the second attribute, which is associated with a fourth value, which lacks a match with the second value;
• and
• outputting, by the database system, a recommendation for the current user to purchase a second plurality of contacts associated with the second compound attribute based on determination that the conditional probability exceeds a probability threshold in response the current user purchasing the first plurality of contacts.

A system comprising:

• a processor-based application, which when executed on a computer, will cause the processor to:
• create, by a database system, a directed graph of a plurality of nodes in which at least some of the plurality of nodes are connected by a plurality of directed arcs, wherein a number of outgoing directed arcs from each node is limited to a maximum number of outgoing directed arcs based on a dynamically changing corresponding conditional probability associated with each potential outgoing directed arc, each of the outgoing directed arcs being dynamically created based upon each dynamically changing corresponding conditional probability;
• identify, by the database system, a first compound attribute associated with a first plurality of contacts purchased by a current user, wherein the first compound attribute comprises a first attribute associated with a first value and also comprises a second attribute associated with a second value;
• identify, by the database system, a directed arc from a first node to a second node, wherein the directed arc is associated with a conditional probability that previous users who purchased a first contact associated with the first compound attribute also purchased a second contact associated with a second compound attribute, wherein the second compound attribute comprises the first attribute, which is associated with a third value which matches the first value, and also comprises the second attribute, which is associated with a fourth value, which lacks a match with the second value;
• and
• output, by the database system, a recommendation for the current user to purchase a second plurality of contacts associated with the second compound attribute based on determination that the conditional probability exceeds a probability threshold in response the current user purchasing the first plurality of contacts.