The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models

Vito Walter Anelli, Alejandro BellogĂ­n, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia. The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models. In Giuseppe Amato, Valentina Bartalesi, Devis Bianchini, Claudio Gennaro, Riccardo Torlone, editors, Proceedings of the 30th Italian Symposium on Advanced Database Systems, SEBD 2022, Tirrenia (PI), Italy, June 19-22, 2022. Volume 3194 of CEUR Workshop Proceedings, pages 514-521, CEUR-WS.org, 2022. [doi]

Abstract

Abstract is missing.