Temporal Dynamics and Information Retrieval
                  Susan Dumais, Microsoft Research

Many digital resources, like the Web, are dynamic and ever-changing
collections of information. However, most information retrieval tools
developed for interacting with Web content, such as browsers and
search engines, focus on a single static snapshot of the information.
I will present analyses of 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 retrieval and
management including crawling policy, ranking and information
extraction algorithms, result presentation, and systems evaluation.
I will describe a prototype that supports people in understanding how
the information they interact with changes over time, and new
retrieval models that incorporates features about the temporal
evolution of content to improve the ranking of search results.
Finally, I will conclude with an overview of some general challenges
that need to be addressed to fully incorporate temporal dynamics in
information retrieval and information management systems.