500 E 4th Street, Austin, TX 78701
$155 night (reserve by 10/13/06)
2006 Annual Meeting Plenary Speakers
Susan Dumais is a Senior Researcher in the Adaptive Systems and Interaction Group at Microsoft Research where she works on algorithms and interfaces for improved information access and management. Prior to joining Microsoft Research in 1997, she was at Bellcore and Bell Labs for many years. She has published widely in the areas of human-computer interaction and information retrieval. Her current research focuses on personal information retrieval, user modeling, web search, text categorization, and collaborative information retrieval. Previous research included well-known work on Latent Semantic Indexing (a statistical method for concept-based retrieval), combining search and navigation, individual differences, perceptual learning and attention, and organizational impacts of new technology. Susan is Past-Chair of ACM's SIGIR group, and serves on several editorial boards, government and program committees. She is an adjunct professor at the University of Washington in the Information School, and has been a visiting faculty member at Stevens Institute of Technology, New York University, and the University of Chicago.
Susan Dumais's work at Microsoft is all about human-computer interaction. Dumais's work on search engines, in concert with John Platt of the Microsoft Signal Processing Group and David Heckerman of the Machine Learning and Applied Statistics Group, includes both the back end algorithms that make them go and the face that they present to the user. Her designs have been used to improve the search function on the Microsoft website and on the popular msn.com site
Albert-László Barabási http://www.nd.edu/~alb/ Author of Linked: The New Science of Networks (Perseus, Cambridge, MA, 2002) and co-author of The Structure and Dynamics of Networks (Princeton University Press, 2006 in press).
From wikipedia: Albert-Laszlo Barabasi (Barabási Albert-László) is the Emil T. Hofmann professor of physics at the University of Notre Dame. He is noted for research into scale-free networks and biological networks. He is an ethnic szekler born in Transylvania. He studied engineering in Romania, next took a master in Hungary, and now is a U.S. Permanent Resident.
Barabasi has been a major contributor to the development of real-world network, together with several other scientists from physics, mathematics, and computer science, including Steve Strogatz and Mark Newman. Barabasi's biggest role has been the introduction of the scale-free network concept, as well as a popularizer of network theory. Among the topics in network theory that Barabasi has studied are growth and preferential attachment, the mechanisms responsible for the structure of the World Wide Web or the cell.
According to the review of one of Barabasi's books, preferential attachment can be described as follows:
"Barabasi has found that the websites that form the network (of the WWW) have certain mathematical properties. The conditions for these properties to occur are threefold. The first is that the network has to be expanding, growing. This precondition of growth is very important as the idea of emergence comes with it. It is constantly evolving and adapting. That condition exists markedly with the world wide web. The second is the condition of preferential attachment, that is, nodes (websites) will wish to link themselves to hubs (websites) with the most connections. The third condition is what is termed competitive fitness which in network terms means its rate of attraction."