Music4All-Onion
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Music4All-Onion is a large-scale, multi-modal music dataset that expands the Music4All dataset by including 26 additional audio, video, and metadata features for 109,269 music pieces and provides a set of 252,984,396 listening records of 119,140 users, extracted from the online music platform Last.fm . <pre> If you make use of this dataset, please cite the following paper: @inproceedings{DBLP:conf/cikm/MoscatiPDZS22, author = {Marta Moscati and Emilia Parada{-}Cabaleiro and Yashar Deldjoo and Eva Zangerle and Markus Schedl}, editor = {Mohammad Al Hasan and Li Xiong}, title = {Music4All-Onion - {A} Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset}, booktitle = {Proceedings of the 31st {ACM} International Conference on Information {\&} Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}, pages = {4339--4343}, publisher = {{ACM}}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557656}, doi = {10.1145/3511808.3557656}, timestamp = {Wed, 19 Oct 2022 17:09:02 +0200}, biburl = {https://dblp.org/rec/conf/cikm/MoscatiPDZS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }</pre>
