Autor:	Attila Fülöp Lázár, Scheuvens Malte, Csécsy Csaba Róbert
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Algorithmic fairness Item popularity Popularity bias Recomender systems Music recommendation Reproducibility
DOI:	10.5281/zenodo.5920993
Popis:	This report is a reproducibility study of the work of D. Kowald et al. regarding thepopularity bias in music recommendation systems. This report follows the whole data science pipeline presented in the original paper in order so identify steps in this processwith missing or unclear information. While some steps were not transparently documented,the main hypothesis of the work was again confirmed using different subsets of the data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b922aa231ceb9d0327c83318f8c8283 Zobrazit plný text záznamu