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

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

Larry Heck and Hongzhao Huang, Deep Learning of Knowledge Graph Embeddings for Semantic Parsing of Twitter Dialogs, in The 2nd IEEE Global Conference on Signal and Information Processing (DRAFT), IEEE – Institute of Electrical and Electronics Engineers, December 2014

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

More publications...