Sound and music recommendation with knowledge graphs [dataset]

Oramas, Sergio; Ostuni, Vito Claudio; Vigliensoni, Gabriel

doi:https://doi.org/10.34810/data444

Sound and music recommendation with knowledge graphs [dataset]

License

Citation

Oramas S, Ostuni VC, Vigliensoni G. Sound and music recommendation with knowledge graphs [dataset]. Repositori Digital de la UPF: Barcelona; 2016 [citat 11 novembre 2016]. Disponible a: http://hdl.handle.net/10230/27495

Abstract

Two different datasets with users, items, implicit feedback interactions between users and items, item tags, and item text descriptions are provided, one for Music Recommendation (KGRec-music), and other for Sound Recommendation (KGRec-sound).

Description

Music Recommendation Dataset (KGRec-music). Number of items: 8,640. Number of users: 5,199. Number of items-users interactions: 751,531. All the data comes from songfacts.com and last.fm websites. Items are songs, which are described in terms of textual description extracted from songfacts.com, and tags from last.fm. Files and folders in the dataset: /descriptions: In this folder there is one file per item with the textual description of the item. The name of the file is the id of the item plus the ".txt" extension. /tags: In this folder there is one file per item with the tags of the item separated by spaces. Multiword tags are separated by -. The name of the file is the id of the item plus the ".txt" extension. Not all items have tags, there are 401 items without tags. implicit_lf_dataset.txt: This file contains the interactions between users and items. There is one line per interaction (a user that downloaded a sound in this case) with the following format, fields in one line are separated by tabs: user_id /t sound_id /t 1 /n. Sound Recommendation Dataset (KGRec-sound). Number of items: 21,552. Number of users: 20,000. Number of items-users interactions: 2,117,698. All the data comes from Freesound.org. Items are sounds, which are described in terms of textual description and tags created by the sound creator at uploading time. Files and folders in the dataset: /descriptions: In this folder there is one file per item with the textual description of the item. The name of the file is the id of the item plus the ".txt" extension. /tags: In this folder there is one file per item with the tags of the item separated by spaces. The name of the file is the id of the item plus the ".txt" extension. downloads_fs_dataset.txt: This file contains the interactions between users and items. There is one line per interaction (a user that downloaded a sound in this case) with the following format, fields in one line are separated by tabs: /nuser_id /t sound_id /t 1 /n.

DOI

https://doi.org/10.34810/data444

Referenced by

http://hdl.handle.net/10230/35759

Related Publication/Data

Publicació relacionada: Oramas S, Ostuni VC, Di Noia T, Serra X, Di Sciascio E. Sound and music recommendation with knowledge graphs. ACM Trans Intell Syst Technol. 2016; 8 (2): 21. DOI: 10.1145/2926718 http://hdl.handle.net/10230/35759
http://mtg.upf.edu/download/datasets/knowledge-graph-rec

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