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.
In this talk, Dr. Dumais 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. She will describe a prototype that supports people in understanding how the information they interact with changes over time and a new retrieval model that incorporates features about the temporal evolution of content to improve core ranking. Finally, Dr. Dumais 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.
Susan Dumais is a Principal Researcher and manager of the Context, Learning, and User Experience for Search (CLUES) Group at Microsoft Research. Her current research focuses on user modeling and personalization, context and information retrieval, temporal dynamics of information, interactive retrieval, and novel evaluation methods. She has published more than 250 articles in the fields of information science, human-computer interaction, and cognitive science, and holds several patents on novel retrieval algorithms and interfaces. She was elected to the CHI Academy in 2005, an ACM Fellow in 2006, received the Gerard Salton Award from SIGIR for Lifetime Achievement in 2009, and was elected to the National Academy of Engineering (NAE) in 2011.
The College of Engineering and Computer Science