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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.



Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, and Xiaofang Zhou, Short Text Understanding Through Lexical-Semantic Analysis, in International Conference on Data Engineering (ICDE), April 2015

Lihong Li, Jin Kim, and Imed Zitouni, Pre-flight Success Prediction of Relevance Flight, in WSDM, ACM – Association for Computing Machinery, February 2015

Xian-Sheng Hua and Jin Li, Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling, AAAI - Association for the Advancement of Artificial Intelligence, January 2015

Nihar B. Shah and Dengyong Zhou, On the Impossibility of Convex Inference in Human Computation, in Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI - Association for the Advancement of Artificial Intelligence, January 2015

Fang Wang, Zhongyuan Wang, Senzhang Wang, and Zhoujun Li, Exploiting Description Knowledge for Keyphrase Extraction, in PRICAI, December 2014

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