TREC-COVID: Building a Pandemic Retrieval Test Collection | Zendy

Ellen M. Voorhees | Zendy; Evangelos Kanoulas | Zendy

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TREC-COVID: Building a Pandemic Retrieval Test Collection

Author(s) -

Ellen M. Voorhees,

Evangelos Kanoulas

Publication year - 2021

Publication title -

journal of eahil

Language(s) - English

Resource type - Journals

eISSN - 2392-8131

pISSN - 1841-0715

DOI - 10.32384/jeahil17466

Subject(s) - covid-19 , pandemic , benchmark (surveying) , computer science , information retrieval , search engine , test (biology) , data collection , geography , statistics , virology , mathematics , medicine , cartography , paleontology , disease , pathology , biology , outbreak , infectious disease (medical specialty)

Assessing how good is a search engine has been an active area of development for more than three decades. During the COVID-19 pandemic however the rate of change in what people are interested in, and the availableinformation online has introduced further challenges for search. TREC-COVID introduces a benchmark collectionto evaluate search engines and provide the means to improve them under the special circumstances of a pandemic.

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