Abstract: System and method for quickly selecting content items (e.g., documents) having highest ranking scores in response to a query for content items. Base scores for a plurality of content items are determined based on attributes of the content items. One or more attributes are extracted from the query, the base scores of at least some of the content items are adjusted based on relationships between the query attributes and the content item attributes. A subset of the plurality of content items having the highest adjusted scores are selected, and the selected subset of content items are output.

Abstract: A preferred embodiment of the subject invention comprises a database architecture for identifying relationships between entities related to companies and methods for using that architecture to identify desired information about the companies and relationships between the companies and entities associated therewith. The architecture comprises a first set of data elements that represent companies; a second set of data elements that represent entities affiliated with one or more companies represented in the first set of data elements; and a third set of data elements that represent relationships between the first set of data elements and the second set of data elements. In a preferred embodiment, a directed, acyclic graph is used to represent the data elements.

Abstract: The subject invention comprises a system for data mining, preferably comprising a sample generator component; a filtering system component; and a buffering component. The sample generator component is preferably configured to communicate with a plurality of search engines and to generate queries based on a sample repository of positive and negative sample documents, and comprises a feature extraction algorithm.