article-journal

HSP Datasets: Insights on Song Popularity Prediction
Michael Vötter, Maximilian Mayerl, Günther Specht, Eva Zangerle
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Height Optimized Tries
We present the Height Optimized Trie (HOT), a fast and space-efficient in-memory index structure. The core algorithmic idea of HOT is …
Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis
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Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021
Eva Zangerle, Christine Bauer, Alan Said
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Leveraging Affective Hashtags for Ranking Music Recommendations
Eva Zangerle, Chih-Ming Chen, Ming-Feng Tsai, Yi-Hsuan Yang
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Support the underground: characteristics of beyond-mainstream music listeners
Dominik Kowald, Peter Müllner, Eva Zangerle, Christine Bauer, Markus Schedl, Elisabeth Lex
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User models for multi-context-aware music recommendation
Martin Pichl, Eva Zangerle
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User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues
Eva Zangerle, Martin Pichl, Markus Schedl
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Understanding User-curated Playlists on Spotify: A Machine Learning Approach
Martin Pichl, Eva Zangerle, Günther Specht
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SentiStorm: Realtime Sentiment Detection von Tweets
Eva Zangerle, Martin Illecker, Günther Specht
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Guided Curation of Semistructured Data in Collaboratively-built Knowledge Bases
Wolfgang Gassler, Eva Zangerle, Günther Specht
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