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%0 Conference Paper
%1 Schedl_2022
%A Schedl, Markus
%A Brandl, Stefan
%A Lesota, Oleg
%A Parada-Cabaleiro, Emilia
%A Penz, David
%A Rekabsaz, Navid
%B ACM SIGIR Conference on Human Information Interaction and Retrieval
%D 2022
%I ACM
%K listening in Collaborative approaches analysis Fairness classification Content-based Demographic dataset Music Genre information User records data Metadata from:kamber systems Recommender biases Algorithmic Last.fm Style recommender Lyrics
%R 10.1145/3498366.3505791
%T LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
%U http://dx.doi.org/10.1145/3498366.3505791
@inproceedings{Schedl_2022,
added-at = {2024-03-27T09:25:18.000+0100},
author = {Schedl, Markus and Brandl, Stefan and Lesota, Oleg and Parada-Cabaleiro, Emilia and Penz, David and Rekabsaz, Navid},
biburl = {https://www.bibsonomy.org/bibtex/263071bd42c8a0803bece638808c4adf7/sop2-ffzg},
booktitle = {ACM SIGIR Conference on Human Information Interaction and Retrieval},
collection = {CHIIR ’22},
doi = {10.1145/3498366.3505791},
interhash = {845649f6ed930d9c847556ea91ec0908},
intrahash = {63071bd42c8a0803bece638808c4adf7},
keywords = {listening in Collaborative approaches analysis Fairness classification Content-based Demographic dataset Music Genre information User records data Metadata from:kamber systems Recommender biases Algorithmic Last.fm Style recommender Lyrics},
month = mar,
publisher = {ACM},
series = {CHIIR ’22},
timestamp = {2024-03-27T09:25:18.000+0100},
title = {LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis},
url = {http://dx.doi.org/10.1145/3498366.3505791},
year = 2022
}