Eva Zangerle

Eva Zangerle

My scientific passion lies in developing tools that help users in navigating their way through vast amounts of data.
News
2018/10happy to say that I'll be tutorials co-chair at next years ISMIR, together with Masataka Goto
2018/10yay, I was nominated for the best reviewer award at RecSys 2018
2018/09presenting our paper "Content-based User Models: Modeling the Many Faces of Musical Preferences" at ISMIR in Paris, where I'm also co-chairing the WiMIR events
2018/09our paper "Latent Feature Combination for Multi-Context Music Recommendation" received the Best Student Paper Award at CBMI 2018
2018/07presenting our work on culture-aware music recommender systems at UMAP in Singapore this week; also holding the IUAdaptME workshop I co-organized at UMAP
2018/07our full paper "Latent Feature Combination for Multi-Context Music Recommendation" was accepted at the International Conference on Content-Based Multimedia Indexing (CBMI)
2018/06our article "Leveraging Affective Hashtags for Ranking Music Recommendations" has been accepted by IEEE Transactions of Affective Computing (together with Yi-Hsuan Yang, Ming-Feng Tsai and Chih-Ming Chen)
2018/05our full paper "The Many Faces of Users: Modeling Musical Preference" has been accepted at this year's ISMIR conference.
2018/05our full paper #nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems has been accepted at the 15th Sound & Music Computing Conference.
Twitter Feed
@eva_zangerle

- November 16, 2018

RT @fulhack: Chartify from Spotify: “Easier chart creation in Python for data scientists” https://t.co/1eau9Bt1of
@eva_zangerle

- November 16, 2018

RT @ACMRecSys: Mark your calendars! The call for contributions for #RecSys2019 has been uploaded on our website: https://t.co/1DMyxRpE20
@eva_zangerle

- November 15, 2018

RT @SpotifyResearch: Announcing the Spotify Sequential Skip Prediction Challenge, part of #WSDM Cup 2019. The dataset comprises 130M Spotif…