Spotify Adds New Personalized Playlists: Favorite Artists, Genres, and Decades
Spotify announced to introduce three new personalized playlists. The playlists will feature your favorite artists, genre, and decade.
Now, we’re excited to share three new mix categories with clearer names that are easier to understand and remember, that will evolve with you: artist mix, genre mix, and decade mix. Based on the music you already love, while offering a new opportunity for discovery, these new Spotify Mixes represent the next generation of focused, personalized offerings at Spotify—right at your fingertips.
https://newsroom.spotify.com/2021-03-31/introducing-new-spotify-mixes-personalized-playlists-featuring-your-favorite-artists-genres-and-decades/
It’s No Joke: Recommender System Beats Humans At Making You Laugh [Michael Yeomans et al. / Diana Gerdeman @ Forbes]
Spotify introduces new Playlist Creator with AI
Google Assistant app now uses your searches to make personalized recommendations [Sarah Perez @ TechCrunch]
About The Author
Joeran Beel
I am the founder of Recommender-Systems.com and head of the Intelligent Systems Group (ISG) at the University of Siegen, Germany https://isg.beel.org. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries. We founded or maintain, among others, LensKit-Auto, Darwin & Goliath, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).