Abstract: A method includes receiving information related to user generated content within a plurality of social networks and categorizing the information. The method further includes, using the categorized information, identifying relationships between a first user and a plurality of second users, scoring each relationship between the first user and a respective one of the plurality of second users, and providing a list of recommended users of the plurality of second users. Categorizing the information may include weighting the information. The method may further include identifying affinities of the second users for a product or category of products using the categorized information. The method may further include calculating a recommendation score for each of the plurality of second users based on the score for each relationship and the affinities, wherein the list of recommended users is based on the recommendation scores of the plurality of second users.

Abstract: Systems and methods for extracting information from structured documents are provided. The systems and methods relate to selecting a centroid document from a group of structured documents, selecting a subset of the group of structured documents in order to form a cluster of the subset of documents about the centroid document. The selecting the subset is preferably based on the relative similarity between each of the selected subset and the centroid document. Then, systems and methods according to the invention include marking a data element on the centroid document. The systems and elements also include identifying a data element on each of the subset of documents, the data element that corresponds to the marked data element on the centroid document. Finally, data may be extracted from the subset of documents based on the identifying step.

Abstract: Systems and methods for extracting information from structured documents are provided. The systems and methods relate to selecting a centroid document from a group of structured documents, selecting a subset of the group of structured documents in order to form a cluster of the subset of documents about the centroid document. The selecting the subset is preferably based on the relative similarity between each of the selected subset and the centroid document. Then, systems and methods according to the invention include marking a data element on the centroid document. The systems and elements also include identifying a data element on each of the subset of documents, the data element that corresponds to the marked data element on the centroid document. Finally, data may be extracted from the subset of documents based on the identifying step.