1. A method comprising the following automated steps executed by at least one computing machine: generating an aggregate set of candidates for an aggregate set of entities by generating, for each entity in the aggregate set of entities, an entity-specific set of candidates based on each entity's entity-specific attributes, wherein each candidate comprises a resource having a resource identifier; pairing or otherwise associating each entity with each candidate in the entity's entity-specific set of candidates for entity-specific processing of candidates; generating, for each entity-specific candidate, a candidate-specific set of features based on its candidate-specific attributes; and generating an aggregate set of classifications for the aggregate set of candidates by generating, for each entity-specific candidate, an entity-specific classification based on its candidate-specific set of features, wherein candidates are classified as being one of in and out of a class.