StumbleUpon: A Web Discovery System
StumbleUpon is a web content discovery service with 4 million members. It uses a personalized recommendation engine and toolbar interface to suggest topically relevant web content, such as websites, photos, or videos recommended by friends or like-minded people. This lets users (“stumblers”) discover great content that they wouldn’t think to search for, and provides a unique platform for distributing web media. This talk will go though StumbleUpon’s approach to online discovery and the history of its development.
Garrett is responsible for StumbleUpon's product design and strategy. He has guided StumbleUpon's design and development since 2001, from inception to over 3.9M members. Garrett completed his Masters in Software Engineering at the University of Calgary, where he researched collaborative systems, evolutionary algorithms and information retrieval. He is also a 2007 recipient of MIT Technology Review's TR35 award.
Our work is centered around a series of Focus Areas that we believe are the future of science and technology.
We’re continually developing new technologies, many of which are available for Commercialization.
PARC scientists and staffers are active members and contributors to the science and technology communities.