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Retrieval Group

We work with industry, academia and other government agencies to promote the use of more effective and efficient techniques for manipulating (largely) unstructured textual information.

The group facilitates retrieval research involving large, unstructured text files by providing test collections and organizing the TREC conference and its proceedings. We continue to create new test collections, focusing mainly on collections to support specific information retrieval sub-tasks such as cross-language retrieval and multimedia retrieval. We also develop better evaluation methodology for information access, including improved evaluation measures for comparing systems using test collections and new evaluation measures for interactive searching and browsing operations.


 

News and Updates

Publications

TREC 2015 Dynamic Domain Track Overview

Author(s)
Ian Soboroff, Hui Yang, John Frank
Search tasks for professional searchers, such as law enforcement agencies, police officers, and patent examiners, are often more complex than open domain Web

Report on The Search Futures Workshop at ECIR 2024

Author(s)
Leif Azzopardi, Charles Clarke, Paul Kantor, Bhaskar Mitra, Johanne Trippas, Zhaochun Ren, Ian Soboroff
The First Search Futures Workshop, in conjunction with the Fourty-sixth European Conference on Information Retrieval (ECIR) 2024, looked into the future of

On the Evaluation of Machine-Generated Reports

Author(s)
James Mayfield, Eugene Yang, Dawn Lawrie, Sean MacAvaney, Paul McNamee, Douglas Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Kayi, Kate Sanders, Marc Mason, Noah Hibbler
Large Language Models (LLMs) have enabled new ways to satisfy information needs. Although great strides have been made in applying them to settings like

Awards

Contacts