This disclosure describes a system that can read millions of news feeds per day about topics (e.g., your customers, competitors, markets, and partners), and give you a small set of the most relevant items that you need to read to keep current with the overwhelming amount of information currently available. Topics of interest are chosen by the user of the system for use as seeds. The seeds are vectorized and compared with the target documents to determine their similarity. The similarities are then sorted from highest to lowest so that the most similar seed and target documents are at the top of the list. This output is produced in XML format so that an RSS Reader can format the XML. This allows for easy Internet access to these recommendations.
You can use keywords such as "Advanced Materials" to find experts who focus on this area of interest.
You may search for a specific lab to see all facilities, technologies and experts found there. e.g. "Ames National Laboratory"
You can use search for a specific technology to find all laboratories and experts who have expertise in this field. e.g. "Energy Analysis"