Machine learning based system for identifying resonated connections in online connection networks

A system comprising:

• one or more processors;
• and
• a non-transitory computer readable storage medium comprising instructions that when executed by the one or processors cause the one or more processors to perform operations comprising:
• maintaining member profiles in an online connection network system;
• the member profiles including a subject profile representing a member in the online connection network system;
• the subject profile associated with connected profiles from the member profiles;
• monitoring interactions of the member with the online connection network system during a current login session of the member in the online connection network system;
• based on the monitored interactions of the member with the online connection network system during the current login session, identifying intent information for the subject profile;
• using the intent information, together with data derived from the subject profile, and with data derived from the connected profiles as input into a relevance machine learning model, executing the relevance machine learning model to produce a set of candidate profiles from the connected profiles, each profile from the set of candidate profiles having an associated relevance value indicating connection strength between the profile and the subject profile;
• selecting from the set of candidate profiles a resonated connection profile based on the monitored interaction of the member with the online connection network system during the current login session;
• and
• including into a user interface a reference to the selected resonated connection profile together with information about a premium service provided by the online connection network system.

A machine-readable non-transitory storage medium having instruction data executable by a machine to cause the machine to perform operations comprising:

• maintaining member profiles in an online connection network system;
• the member profiles including a subject profile representing a member in the online connection network system, the subject profile associated with connected profiles from the member profiles;
• monitoring interactions of the member with the online connection network system during a current login session of the member in the online connection network system;
• based on the monitored interactions of the member with the online connection network system during the current login session, identifying intent information for the subject profile;
• using the intent information, together with data derived from the subject profile, and with data derived from the connected profiles as input into a relevance machine learning model, executing the relevance machine learning model to produce a set of candidate profiles from the connected profiles, each profile from the set of candidate profiles having an associated relevance value indicating connection strength between the profile and the subject profile;
• selecting from the set of candidate profiles a resonated connection profile based on the monitored interaction of the member with the online connection network system during the current login session;
• and
• including into a user interface a reference to the selected resonated connection profile together with information about a premium service provided by the online connection network system.