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.