<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: arial,helvetica,sans-serif; font-size: 12pt; color: #000000'><b>Temporal Dynamics and Information Retrieval</b>
<br>
<b><a href="http://research.microsoft.com/en-us/um/people/sdumais/">Susan Dumais</a></b>, <a href="http://research.microsoft.com/en-us/default.aspx">Microsoft Research</a>
<br>Tuesday, November 5 4:30pm<br>Friend Center 006<br>
<br>
Many digital resources, like the Web, are dynamic and ever-changing
collections of information. However, most tools developed for
interacting with Web content, such as browsers and search engines, focus
on a single static snapshot of the information. In this talk, I will
present analyses characterizing how Web content changes over time, how
people re-visit Web pages over time, and how re-visitation patterns are
influenced by changes in user intent and content. These results have
implications for many aspects of information management including
crawling policy, ranking and information extraction algorithms, result
presentation, and system evaluation. I will describe a prototype that
supports people in understanding how the information they interact with
changes over time, and new information retrieval models that incorporate
the temporal dynamics to improve ranking. Finally, I will conclude
with speculations about "slow search" and an overview of challenges that
need to be addressed to fully incorporate temporal dynamics into
information systems.
<br><br>Susan Dumais is a Distinguished Scientist and manager of the Context,
Learning and User Experience for Search (CLUES) Group at Microsoft
Research. Prior to joining Microsoft Research, she was at Bell Labs and
Bellcore for many years, where she worked on Latent Semantic Analysis,
interfaces for combining search and navigation, and organizational
impacts of new technology. Her current research focuses on user
modeling and personalization, context and search, temporal dynamics of
information, and novel evaluation methods. She has worked closely with
several Microsoft groups (Bing, Windows Desktop Search, SharePoint, and
Office Online Help) on search-related innovations. Susan has published
widely in the fields of information science, human-computer interaction
and cognitive science, and holds several patents on novel retrieval
algorithms and interfaces. Susan is an adjunct professor in the
Information School at the University of Washington. She is Past-Chair
of ACM's Special Interest Group in Information Retrieval (SIGIR), and
serves on several editorial boards, technical program committees, and
government panels. She was elected to the CHI Academy in 2005, an ACM
Fellow in 2006, received the SIGIR Gerard Salton Award for Lifetime
Achievement in 2009, and was elected to the National Academy of
Engineering (NAE) in 2011. More information is available at her
homepage, <a href="http://http://research.microsoft.com/en-us/um/people/sdumais/"> http://http://research.microsoft.com/en-us/um/people/sdumais/</a>
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