Artificial intelligence techniques for connections networking

A computing apparatus comprising:

• circuitry;
• and
• a memory storing instructions that, when executed by the circuitry, causes the circuitry to:
• receive a request associated with a first user identifier (ID) to interact with a networking application of a connections networking system, wherein the first user ID represents a first user of the connections networking system;
• generate, by a first machine learning model, a set of entity groups based on the request, wherein at least one of the entity groups comprises multiple related entities defined by a first set of rules;
• generate, by a second machine learning model, a set of connections entity groups based on the set of entity groups generated by the first machine learning model, wherein a connections entity group comprises two or more related entities from the multiple related entities defined by a second set of rules;
• retrieve connections data associated with the first user ID, the connections data comprising one or more parameters for the first user ID;
• determine a connections entity group from the set of connections entity groups generated by the second machine learning model based on the first user ID using the connections data;
• determine a second user ID of the connections entity group using a set of common parameters from the one or more parameters for the first user ID and one or more parameters for the second user ID, wherein the second user ID represents a second user of the connections networking system;
• and
• cause presentation of the second user ID on a graphical user interface (GUI) of a client system as a candidate to interact with the networking application of the connections networking system.

A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by circuitry, cause the circuitry to:

• receive a request associated with a first user identifier (ID) to interact with a networking application of a connections networking system, wherein the first user ID represents a first user of the connections networking system;
• generate, by a first machine learning model, a set of entity groups based on the request, wherein at least one of the entity groups comprises multiple related entities defined by a first set of rules;
• generate, by a second machine learning model, a set of connections entity groups based on the set of entity groups generated by the first machine learning model, wherein a connections entity group comprises two or more related entities from the multiple related entities defined by a second set of rules;
• retrieve connections data associated with the first user ID, the connections data comprising one or more parameters for the first user ID;
• determine a connections entity group from the set of connections entity groups generated by the second machine learning model based on the first user ID using the connections data;
• determine a second user ID of the connections entity group using a set of common parameters from the one or more parameters for the first user ID and one or more parameters for the second user ID, wherein the second user ID represents a second user of the connections networking system;
• and
• cause presentation of the second user ID on a graphical user interface (GUI) of a client system as a candidate to interact with the networking application of the connections networking system.