TREC Tracks

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A TREC workshop consists of a set tracks, areas of focus in which particular retrieval tasks are defined. The tracks serve several purposes. First, tracks act as incubators for new research areas: the first running of a track often defines what the problem really is, and a track creates the necessary infrastructure (test collections, evaluation methodology, etc.) to support research on its task. The tracks also demonstrate the robustness of core retrieval technology in that the same techniques are frequently appropriate for a variety of tasks. Finally, the tracks make TREC attractive to a broader community by providing tasks that match the research interests of more groups.

Each track has a mailing list. The primary purpose of the mailing list is to discuss the details of the track's tasks in the current TREC. However, a track mailing list also serves as a place to discuss general methodological issues related to the track's retrieval tasks. TREC track mailing lists are open to all; you need not participate in TREC to join a list. Most lists do require that you become a member of the list before you can send a message to it.

The set of tracks that will be run in a given year of TREC is determined by the TREC program committee. The committee has established a procedure for proposing new tracks.


2019 TREC Tracks


    Complex Answer Retrieval Track

    The focus of the Complex Answer Retrieval track is on developing systems that are capable of answering complex information needs by collating relevant information from an entire corpus.
    Track coordinators:
    Laura Dietz, University of New Hampshire
    Ben Gamari, Well-typed LLP
    Track Web Page:
    trec-car.cs.unh.edu
    Mailing list:
    Google group, name: trec-car


    Conversational Assistance Track

    The Conversational Assistance Track is a forum for building and testing systems that engage in open-domain information centric conversational dialogues.
    Track coordinators:
    Jeff Dalton, University of Glasgow
    Chenyan Xiong, Microsoft Research
    Jamie Callan, Carnegie Mellon University
    Track Web Page:
    CAsT web site
    Twitter: @treccast
    Slack: treccast.slack.com

    Decision Track

    The Decision Track aims to (1) provide a venue for research on retrieval methods that promote better decision making with search engines, and (2) develop new online and offline evaluation methods to predict the decision making quality induced by search results.
    Track coordinators:
    Christina Lioma, University of Copenhagen
    Mark Smucker, University of Waterloo
    Guido Zuccon, University of Queensland
    Track Web Page:
    Decision Track web site
    Mailing list:
    Google group, name: trec-decision-track


    Deep Learning Track

    The Deep Learning track focuses on IR tasks where a large training set is available, allowing us to compare a variety of retrieval approaches including deep neural networks and strong non-neural approaches, to see what works best in a large-data regime.
    Track coordinators:
    Nick Craswell, Microsoft
    Bhaskar Mitra, Microsoft and University College London
    Emine Yilmaz, University College London
    Daniel Campos, Microsoft
    Track Web Page:
    Deep Learning track web page
    Mailing list:
    The list will use the new TREC Slack.

    Fair Ranking Track

    The Fair Ranking track focuses on building two-sided systems that offer fair exposure to ranked content producers while ensuring high results quality for ranking consumers.
    Track coordinators:
    Asia Biega, Max Planck Institute for Informatics
    Fernando Diaz, Microsoft Research Montreal
    Michael Ekstrand, Boise State University
    Track Web Page:
    Fairness track web page
    Mailing list:
    Google group, name: fair-trec

    Incident Streams Track

    The Incident Streams track is designed to bring together academia and industry to research technologies to automatically process social media streams during emergency situations with the aim of categorizing information and aid requests made on social media for emergency service operators.
    Track coordinators:
    Richard McCreadie, University of Glasgow
    Cody Buntain, NYU
    Ian Soboroff, NIST
    Track Web Page:
    Incident Streams track web page
    Track Mailing List:
    Google group, name: trec-is


    News Track

    The NEWS track features modern search tasks in the news domain. In partnership with The Washington Post, we will develop test collections that support the search needs of news readers and news writers in the current news environment.
    Track coordinators:
    Shudong Huang, NIST
    Donna Harman, NIST
    Ian Soboroff, NIST
    Track Web Page:
    trec-news.org
    Mailing list:
    Google group, name: trec-news-track


    Precision Medicine Track

    This track focuses on building systems that use data (e.g., a patient's past medical history and genomic information) to link oncology patients to clinical trials for new treatments as well as evidence-based literature to identify the most effective existing treatments.
    Track coordinators:
    Kirk Roberts, University of Texas Health Science Center
    Dina Demner-Fushman, U.S. National Library of Medicine
    Ellen Voorhees, NIST
    William Hersh, Oregon Health and Science University
    Alexander Lazar, University of Texas MD Anderson Cancer Center
    Shubham Pant, University of Texas MD Anderson Cancer Center
    Track Web Page:
    www.trec-cds.org/
    Mailing list:
    Google group, name: trec-cds



    Track coordinators:
    Shudong Huang, NIST
    Donna Harman, NIST
    Ian Soboroff, NIST
    Track Web Page:
    trec-news.org
    Mailing list:
    Google group, name: trec-news-track



The TREC Conference series is co-sponsored by the NIST Information Technology Laboratory's (ITL)
Retrieval Group of the
Information Access Division (IAD)
Contact us at: trec (at) nist.gov



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Last updated: Tuesday, 18-Jun-2019 06:52:33 MDT
Date created: Tuesday, 17-Dec-02
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