Abstract: The present disclosure generally relates to a method comprising receiving, by a computer device comprising a processor and a memory in communication with the processor, at least one profile describing a viewer type likely to be interested in a first content, receiving, by the computer device, a plurality of elements, and determining, by the computer device, at least one element of the plurality of elements likely to be of interest to a potential viewer associated with the at least one profile by mapping the at least one profile to the plurality of elements. Another embodiment comprises a computer-readable medium comprising processor-executable software program code for carrying out such a method. Another embodiment comprises a system comprising a processor and a memory in communication with the processor, the memory comprising processor-executable computer program code for carrying out such a method.

Abstract: Methods and systems for identifying content to customers are disclosed. One embodiment provides a method for identifying at least one piece of content to communicate to a consumer comprising receiving impression request data associated with consumers accessing a networked medium in a computing environment, employing a parse request module to evaluate campaign constraints to generate candidate plans, wherein each of the candidate plans includes variable having an associated weight and campaign constraint, employing an optimization engine to determine a first score for each of the candidate plans using a model, wherein the model utilizes precomputed data and the impression request data, and for applying real-time yield management algorithm to evaluate the variable and the campaign constraint to develop a second score for each of the candidate plans, and identifying an optimum plan based on the first score and the second score.