Abstract: A computer-implemented method, computer program product and computing system for receiving user content for analysis. Key content included within the user content is identified. Surplus content included within the user content is identified.

Abstract: A computer-implemented method, computer program product and computing system for defining a first feature group having a first plurality of options. At least one additional feature group having at least one additional plurality of options is defined. A first level-one sample assembly is defined that includes an option chosen from the first plurality of options and an option chosen from the at least one additional plurality of options. A level-one probabilistic model is defined based, at least in part, upon the first level-one sample assembly.

Abstract: A computer-implemented method, computer program product and computing system for receiving non-structured content concerning a plurality of items. The non-structured content is processed to identify one or more proposed features for the plurality of items. The one or more proposed features are provided to a user for review. Feature feedback concerning the one or more proposed features is received. The one or more proposed features are modified based, at least in part, upon the feature feedback received from the user, thus generating one or more approved features.

Abstract: A computer-implemented method, computer program product and computing system for receiving a first piece of content that has a first structure and includes a first plurality of items. A second piece of content is received that has a second structure and includes a second plurality of items. Commonality between the first piece of content and the second piece of content is identified. The first piece of content and the second piece of content are combined to form combined content that is based, at least in part, upon the identified commonality.