%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 Algorithmic Collaborative Content-based Demographic Fairness Genre Last.fm Lyrics Metadata Music Recommender Style User analysis approaches biases classification data dataset in information listening recommender records systems %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 = {2024-03-24T23:19:37.000+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/kamber}, booktitle = {ACM SIGIR Conference on Human Information Interaction and Retrieval}, collection = {CHIIR ’22}, doi = {10.1145/3498366.3505791}, interhash = {845649f6ed930d9c847556ea91ec0908}, intrahash = {63071bd42c8a0803bece638808c4adf7}, keywords = {Algorithmic Collaborative Content-based Demographic Fairness Genre Last.fm Lyrics Metadata Music Recommender Style User analysis approaches biases classification data dataset in information listening recommender records systems}, 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 }