Music streaming and playlisting activity from music streaming service

This dataset is taken from the portuguese music social network "Palco Principal", that gathers non-mainstream musicians with fans. The website allows free music streaming and users can organize their favorite music tracks in personal playlists. The dataset consists of three files. Two of them are music streaming logs (one line per play), and one file is a music track playlisting log (users adding music tracks to their personal playlist).

데이터와 리소스

추가 정보

필드 값
소스 Palco Principal (http://www.palcoprincipal.com)
저자 João Vinagre
최종 업데이트 11월 15, 2018, 11:19 (UTC)
생성됨 3월 10, 2017, 10:42 (UTC)
DOI https://doi.org/10.25747/SAA5-VP50
dc.Contributor Ubbin Labs, Lda
dc.Coverage.Temporal listened_tracks_1.tsv - From 2007-06-05 to 2010-05-01; listened_tracks_2.tsv - From 2010-10-20 to 2011-03-22; playlisted_tracks.tsv - From 2009-06-09 to 2013-03-25
dc.Date Gathered March 2013
dc.Format *.tsv, *.txt
dc.Format.Extent 46,5MB
dc.Publisher INESC TEC
dc.Relation J. Vinagre, A. M. Jorge and J. Gama. Collaborative filtering with recency-based negative feedback. In proceedings of the 30th ACM/SIGAPP Symposium on Applied Computing (SAC'2015), Salamanca, Spain, April 13-17, pages 963-965. ACM, 2015.; P. Matuszyk, J. Vinagre, M. Spiliopoulou, A. M. Jorge, J. Gama. Forgetting methods for incremental matrix factorization in recommender systems. In proceedings of the 30th ACM/SIGAPP Symposium on Applied Computing (SAC'2015), Salamanca, Spain, April 13-17, pages 947-953. ACM, 2015.; J. Vinagre, A. M. Jorge, and J. Gama. Fast incremental matrix factorization for recommendation with positive-only feedback. In proceedings of the 22nd Conference on User Modeling, Adaptation and Personalization, UMAP'2014, Aalborg, Denmark, July 7-11. Volume 8538 of Lecture Notes in Computer Science, pages 459–470. Springer, 2014.
dc.Type listened_tracks_1.tsv - music streaming, tab-separated; listened_tracks_2.tsv - music streaming, tab-separated; playlisted_tracks.tsv - music playlisting, tab-separated