Eva Zangerle

Eva Zangerle

My scientific passion lies in developing tools that help users in navigating their way through vast amounts of data.
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.
2018/04presenting our paper "Recommendation-Assisted Data Curation for Wikidata" at the Wiki Workshop at The Web Conference
2018/04our extended abstract "Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues for Listener Clustering and Track Recommendation" was accepted at User Modeling, Adaptation and Personaliization (UMAP) 2018
2018/03presenting our short paper ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists at ECIR 2018 this week
2018/03consider submitting your work to the 1st International Workshop on Multi-Method Evaluation of Personalized Systems, which I co-organize together with Christine Bauer and Bart Knijnenberg
Twitter Feed

- August 21, 2018

RT @kayaa_mesutt: List of accepted papers #KDD2018 including a lot of #recsys papers to read. proceedings is available as well. https://t.

- August 20, 2018

RT @RecSysMare: Call for partecipation at the Workshop on #decisionmaking and #recsys (DMRS) 29-30 Nov 2018, Bolzano https://t.co/HRpP4Kde