Abstract: An apparatus, computer program product, and method are provided for predictive recommendations of device rendered objects using one or more objective models. In the context of a method, the method generates, for each device rendered object of a plurality of device rendered objects, a multiple objective score. The method also determines a real-time adjustment factor based in part on a received objective adjustment signal and generates, for each device rendered object of the plurality of device rendered objects, an adjusted multiple objective score based on the real-time adjustment factor. The method also generate a ranked device rendered object set, selects a subset of the ranked rendered object set, and transmits the ranked device rendered object subset to a client device associated with the user object of the user object objective, the subset configured for rendering within the user interface area of the client device.

Abstract: An apparatus, computer program product, and method are provided for predictive recommendations of device rendered objects using one or more objective models. In the context of a method, the method generates, for each device rendered object of a plurality of device rendered objects, a multiple objective score. The method also determines a real-time adjustment factor based in part on a received objective adjustment signal and generates, for each device rendered object of the plurality of device rendered objects, an adjusted multiple objective score based on the real-time adjustment factor. The method also generate a ranked device rendered object set, selects a subset of the ranked rendered object set, and transmits the ranked device rendered object subset to a client device associated with the user object of the user object objective, the subset configured for rendering within the user, interface area of the client device.