PARC has developed a new content classification and targeting engine for news companies to curate and relate long tail web content for complex topics more precisely and efficiently than any currently available approaches. The Kiffets Social Indexing Engine enables readers to discover and explore related topics and articles in context, increasing their engagement on publishers' sites. By combining the perspective of human editors with the scalability of automatic classification, Kiffets enables publishers to extend the scale and reach of human curators to filter and package Long Tail content (and target advertising) efficiently. Core technology and REST API available for licensing to news companies and publishers as software or as a web service. PARC is looking for strategic partners to commercialize the current technology and work together to achieve the breakthrough potential of an intelligent content classification and targeting system.

1. Enabling News Companies as Content Curators Kiffets Social Indexing Engine www.kiffets.com Lawrence C. Lee Director of Business Development July 2010

6. Deep expertise powers Kiffets 3. Kiffets classifies articles from feeds into channels and topics, and identifies relationships between articles and topics. 1. Your editors define topics and point of view for curated collections (“channels”) and provide training examples. RSS Feed Examples 2. Your editors specify good sources and Kiffets recommends good sources based on activities of other curators. 4. Kiffets API allows you to retrieve related topics and articles to augment original content.