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

Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen, Knowledge Graph Embedding by Translating on Hyperplanes, AAAI - Association for the Advancement of Artificial Intelligence, July 2014

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

Marios Kokkodis, Anitha Kannan, and Krishnaram Kenthapadi, Assigning Educational Videos at Appropriate Locations in Textbooks, in International Conference on Educational Data Mining (EDM), International Educational Data Mining Society, July 2014

More publications...