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

Sreenivas Gollapudi and Debmalya Panigrahi, Fair Allocation in Online Markets, in Proc. Intl. Conf. on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, 4 November 2014

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, and Krishnaram Kenthapadi, Similarity Search using Concept Graphs, in International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, 4 November 2014

Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, and Gregoire Mesnil, A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval , CIKM, November 2014

Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, Li Deng, and Yelong Shen, Modeling Interestingness with Deep Neural Networks, EMNLP, October 2014

Edith Cohen, Daniel Delling, Thomas Pajor, and Renato Werneck, Sketch-based Influence Maximization and Computation: Scaling up with Guarantees, no. MSR-TR-2014-110, August 2014

More publications...