PyTerrier-based Research Data Recommendations for Scientific Articles in the Social Sciences

Narges Tavakolpoursaleh, Johann Schaible. PyTerrier-based Research Data Recommendations for Scientific Articles in the Social Sciences. In Guglielmo Faggioli, Nicola Ferro 0001, Alexis Joly, Maria Maistro, Florina Piroi, editors, Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021. Volume 2936 of CEUR Workshop Proceedings, pages 1712-1722, CEUR-WS.org, 2021. [doi]

Abstract

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