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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

Jianpeng Cheng, Zhongyuan Wang, Ji-Rong Wen, Jun Yan, and Zheng Chen, Contextual Text Understanding in Distributional Semantic Space, in ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, October 2015.

Bhaskar Mitra and Nick Craswell, Query Auto-Completion for Rare Prefixes, in Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, October 2015.

Zhongyuan Wang, Haixun Wang, Ji-Rong Wen, and Yanghua Xiao, An Inference Approach to Basic Level of Categorization, in ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, October 2015.

Alistair Moffat, Falk Scholer, Paul Thomas, and Peter Bailey, Pooled Evaluation Over Query Variations: Users are as Diverse as Systems, in Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, October 2015.

Bhanu Vattikonda, Vacha Dave, Saikat Guha, and Alex C. Scoeren, Empirical Analysis of Search Advertising Strategies, in Proceedings of the 2015 Internet Measurement Conference (IMC), Tokyo, Japan, October 2015.

More publications ...