Abstract: In some embodiments, a method can include calculating, based on a set of values associated with an education of a user, an institution rank associated with the user. The method can include generating an engagement distribution of a set of users based on (1) a recency of each communication from a set of communications associated with the set of users and (2) a significance of each communication from the set of communications. The method can include determining an engagement metric of the user based on a position of the user within the engagement distribution and using a logistic function. The method can include providing, as an input to a machine learning model, the institution rank, the engagement metric, a profile completion metric and a profile of each entity from a set of potential entities, to obtain a user score related to each entity from the set of potential entities.