LFM-1b Dataset LFM-1b UGP Dataset   Corpus of Music Listening Events for Music Recommendation

Description

This web page used to host the LFM-1b dataset of more than one billion listening events, intended to be used for various music retrieval and recommendation tasks. A paper describing the dataset was accepted to the ACM International Conference on Multimedia Retrieval (ICMR) 2016 and is available for download. A follow-up publication including results of a more thorough statistical analysis was published in the International Journal of Multimedia Information Retrieval, available here. Please consult these publications for details.

In case you make use of the LFM-1b dataset in your own research, please cite the following paper:

As an extension to LFM-1b, the LFM-1b User Genre Profile (LFM-1b UGP) dataset was published as a paper in the proceedings of the IEEE International Symposium on Multimedia (ISM) 2017. It uses Last.fm artist tags indexed with two dictionaries of genre and style descriptors (from Allmusic and Freebase) to create, for each user in LFM-1b, a preference profile as a vector over genres. This vector can be used as proxy for the genre/style preferences of the users. Combined with demographic information available in LFM-1b, such profiles can also be created on other levels, e.g., for countries or users in a particular age group.

In case you make use of the LFM-1b UGP dataset in your own research, please cite the following paper:

Datasets

Code

We further provide exemplary Python code that shows how to access the LFM-1b dataset and compute simple statistics: