Eva Zangerle
Eva Zangerle
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Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)
Christine Bauer
,
Alan Said
,
Eva Zangerle
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Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search
Andreas Peintner
,
Amir Reza Mohammadi
,
Eva Zangerle
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Assessing aesthetic music-evoked emotions in a minute or less: A comparison of the GEMS-45 and the GEMS-9
Peer-Ole Jacobsen
,
Hannah Strauss
,
Julia Vigl
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Eva Zangerle
,
Marcel Zentner
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The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts
Hannah Strauss
,
Julia Vigl
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Peer-Ole Jacobsen
,
Martin Bayer
,
Francesca Talamini
,
Wolfgang Vigl
,
Eva Zangerle
,
Marcel Zentner
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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access …
Christine Bauer
,
Eva Zangerle
,
Alan Said
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Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation
Evaluation plays a vital role in recommender systems—in research and practice—whether for confirming algorithmic concepts or assessing …
Christine Bauer
,
Alan Said
,
Eva Zangerle
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Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023
Evaluation is a central step when developing, optimizing, and deploying recommender systems. The PERSPECTIVES 2023 workshop, held as …
Alan Said
,
Eva Zangerle
,
Christine Bauer
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Song lyrics have become simpler and more repetitive over the last five decades
Emilia Parada-Cabaleiro
,
Maximilian Mayerl
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Stefan Brandl
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Marcin Skowron
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Markus Schedl
,
Elisabeth Lex
,
Eva Zangerle
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Evaluating Recommender Systems: Survey and Framework
Eva Zangerle
,
Christine Bauer
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Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022
Eva Zangerle
,
Christine Bauer
,
Alan Said
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