AKRE(tm) provides real-time, behavior-based recommendations to retail and media websites. These highly relevant recommendations are for the items most likely to be viewed or purchased by a customer. Sites that provide high quality recommendations to customers have increased page views per visit, improved sales conversion rates, and larger revenue per order. AKRE is deployed as an easy-to-integrate web service that can be added to a portal in hours, not weeks or months.

"Aggregate Knowledge provides powerful 'related' recommendations functionality that was quick and easy for us to implement," said Ethan Stock, CEO of Zvents, an events web search portal and web service. "The recommendations box powered by Aggregate Knowledge gives users of our site relevant event options, based on the behavior of prior visitors. Search plus recommendations is a powerful combination."

"This product identifies up-sell and cross-sell opportunities for web retailers in real-time," said Josh Kopelman, managing director of First Round Capital and founder of Half.com. "User view and buy behavior can change quickly based on outside influences like a news story or a product review. Since this system is real-time and works across product and media categories, web merchants have access to this data immediately."

AKRE enables automated merchandising across a broad range of categories that have previously not been connected. For example, AKRE identifies cross-selling opportunities such as "people who read this news story, bought tickets to this event."