Information Retrieval Laboratory
IR Lab (December 2007)
Much of our Information Retrieval research over the past 15 years has been directed at the fundamental issues of text representation, query acquisition, and retrieval models that form the basis of all search engines. This research has been extended into a number of different architectures, such as filtering information streams, searching distributed databases, and Web search. It has been extended into different languages in both multilingual and cross-lingual systems. It has been extended into different modes of interaction, such as long queries and graphics-based visualization techniques. It has been extended into different applications, such as question answering, social search, enterprise search, blog search, and finding text reuse. Finally, it has been extended into different data types, such as images, speech, structured data, video, and music.
To give an idea of the variety of research topics pursued in the CIIR, we focus here on the people and papers that come out of our environment. Specifically, the following is a description of some of the recent graduates and papers from the Information Retrieval lab:
Recent Doctoral Graduates
Recent Papers
