Abstract: Disclosed is a digital content targeting and delivery system. The system includes an interface to receive a primary content for distribution to one or more audience groups and a content feature detector to extract content features relevant to each of one or more audience groups. A relevant audience set generator parses a pool of potential audience member records into one or more (target) audience group lists by matching extracted content features with content preference parameters/fields of taste user profiles within the potential audience member records. a derivative content delivery module delivers, to members of at least one audience group, a derivative of the primary content including content segments with content features matching at least one common preference of the members of the at least one audience group.

Abstract: Disclosed are systems, methods, devices, circuits, and associated computer executable code for taste profiling of internet or network users. A User Events Analysis Server filters out vast amounts of irrelevant data, hard to isolate in conventional methods, and extracts valuable data from web-browsing or networking events. A User Taste Profiling Server automatically generates domain specific (e.g. media content) semantic taste profiles for users associated with the filtered and extracted web-browsing or networking events. Among other applications, such taste profiles may facilitate effective targeting of advertising campaigns in the given content domain.