Abstract: A method for profile matching includes receiving a plurality of user profiles, each user profile comprising traits of a respective user. The method includes receiving a preference indication for a first user profile of the plurality of user profiles. The method also includes determining a potential match user profile of the plurality of user profiles based on the preference indication for the first user profile. The method also includes presenting the potential match user profile to a second user.

Abstract: The present disclosure provides a method for content object optimization. The method includes selecting an object user; obtaining content objects; determining a ranking of the content objects; determining a rotation value; presenting the content objects based on the ranking and rotation value; obtaining feedback associated with the content objects, the feedback obtained at least partially from one or more remote user systems over a communication network; determining empirical scores for the content objects; obtaining behavioral data of an observer user; determining behavioral scores for at least one of the content objects based on the behavioral data; determining a composite score for the at least one of the content objects based on empirical and behavioral scores; updating the ranking based on the composite score(s); presenting at least one of the content objects to the observer user based on the updated ranking.