Search, Information Retrieval, and Knowledge Management

Helping people to organize and find information


Knowledge workers need software that is easy to use and intuitive. They need to find their information long after they’ve forgotten where they put their documents and what they named their files. They also need better tools to help them find and consume information on the Internet. Information-retrieval and search technologies are critical to making this happen. We are pursuing research in information retrieval, filtering, and management, as well as the use of classification technologies and the development of systems and interfaces that will enrich the user experience.

 

Publications

Nina Mishra, Ryen White, Samuel Ieong, and Eric Horvitz, Time-Critical Search, in SIGIR (Information retrieval), ACM, 10 July 2014

Isabelle Stanton, Samuel Ieong, and Nina Mishra, Circumlocution in Diagnostic Medical Queries, in SIGIR (Information Retrieval), ACM, 8 July 2014

Myeongjae Jeon, Saehoon Kim, Seung-won Hwang, Yuxiong He, Sameh Elnikety, Alan L. Cox, and Scott Rixner, Predictive Parallelization: Taming Tail Latencies in Web Search, in SIGIR, ACM, July 2014

Edith Cohen, Estimation for Monotone Sampling: Competitiveness and Customization, in ACM PODC 2014, ACM, July 2014

Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, and Katja Hofmann, On User Interactions with Query Auto-Completion, in Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), ACM, July 2014

More publications...