Change Research's recommendation engine connects consumers and business users with "trusted source" information.

At its core, Change Research employs a machine-driven, hard statistics approach to extract the concepts and context in unstructured text -- in real-time and across various data sources -- to discover relevant matching information and deliver it to the user before he asks.

Built on patent-pending, proprietary implementations of technologies that include implicit query, conceptual and contextual extraction, and distributed pattern matching, the Change Research system develops an understanding of information from sources that can include popular publications, people's data viewing histories, and events documents including email and corporate documents. Change Research uses its knowledge of discoverable, high-value information to recommend relevant news and information to the user, inserted into his workflow.