![]() ![]() Exploiting country information of users and genre tags of artists, we also create taste profiles for populations and determine similar and dissimilar countries in terms of their populations’ music preferences. We furthermore provide an extensive statistical analysis of the dataset, including basic properties of the item sets, demographic coverage, distribution of listening events (e.g., over artists and users), and aspects related to music preference and consumption behavior (e.g., temporal features and mainstreaminess of listeners). ![]() In this article, we reveal information about LFM-1b’s acquisition and content and we compare it to existing datasets. Basic demographic information and a selection of more elaborate listener-specific descriptors are included as well, for anonymized users. Each listening event is characterized by artist, album, and track name, and further includes a timestamp. It contains more than one billion music listening events created by more than 120,000 users of Last.fm. Recently, the LFM-1b dataset has been proposed to foster research and evaluation in music retrieval and music recommender systems, Schedl (Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR). ![]()
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February 2023
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