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

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

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

Katja Hofmann, Bhaskar Mitra, Filip Radlinski, and Milad Shokouhi, An Eye-tracking Study of User Interactions with Query Auto Completion, in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, November 2014

Emine Yilmaz, Manisha Verma, Nick Craswell, Filip Radlinski, and Peter Bailey, Relevance and Effort: An Analysis of Document Utility, in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, 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

More publications...