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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

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

Emre Kıcıman, Towards Learning a Knowledge Base of Actions from Experiential Microblogs, in AAAI Spring Symposium on Knowledge Representation and Reasoning, AAAI - Association for the Advancement of Artificial Intelligence, 23 March 2015

Lihong Li, Jin Young Kim, and Imed Zitouni, Toward Predicting the Outcome of an A/B Experiment for Search Relevance, in WSDM, ACM – Association for Computing Machinery, February 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

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

More publications ...