Abstract: User data and a plurality of micro-segment definitions are received. Each micro-segment definition in the plurality of micro-segment definitions corresponds to one or more offers in an offer provider campaign. Further, a each micro-segment definition from the plurality of micro-segment definitions is parsed into a plurality of parsed expression segments that indicate a plurality of micro-segment condition rules. The plurality of parsed expression segments are compiled into an executable object that indicates a plurality of instructions to determine if the user data matches the plurality of micro-segment definitions. Each micro-segment definition is processed to apply the plurality of micro-segment condition rules to the user data to determine a match of a user belonging to a micro-segment. Further, a score is assigned to indicate the strength of each match. In addition, each match is ranked according to the score for each match.

Abstract: Methods and apparatus provide for an Extractor that receives a collection of strings and a bounding box(es) for each string. Each bounding box describes a position of at least a portion of a corresponding string in a source document. The source document includes multiple sections for presenting portions of the collection of strings in the source document. The Extractor arranges the collection of strings according to a reading order that corresponds to a language associated with the collection of strings. Upon arranging the collection of strings according to the reading order, the Extractor collects semantic entities from a target document that has the collection of strings ordered according to the reading order. For each collected semantic entity, the Extractor tags the collected semantic entity with a tag that describes a category of content that corresponds to a logical section of the target document from which the semantic entity was extracted.