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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.



Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, and Jiawei Han, Mining Quality Phrases from Massive Text Corpora, ACM – Association for Computing Machinery, June 2015.

Elad Yom-Tov, Ebola data from the Internet: An opportunity for syndromic surveillance or a news event?, ACM – Association for Computing Machinery, 18 May 2015.

Kuansan Wang, The Knowledge Web Meets Big Scholars, ACM – Association for Computing Machinery, 18 May 2015.

Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, and Ming-Wei Chang, Domain Question Answering via Semantic Enrichment, ACM – Association for Computing Machinery, May 2015.

Ali Mamdouh Elkahky, Yang Song, and Xiaodong He, A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems, in WWW 2015, WWW – World Wide Web Consortium (W3C), May 2015.

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