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Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022
Evaluation is a central step when it comes to developing, optimizing, and deploying recommender systems. The PERSPECTIVES 2022 workshop …
Eva Zangerle
,
Christine Bauer
,
Alan Said
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Cite
DOI
Second workshop: perspectives on the evaluation of recommender systems (PERSPECTIVES 2022)
Evaluation of recommender systems is a central activity when developing recommender systems, both in industry and academia. The second …
Eva Zangerle
,
Christine Bauer
,
Alan Said
PDF
Cite
DOI
Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021
Evaluation is a central step when it comes to developing, optimizing, and deploying recommender systems. The PERSPECTIVES 2021 workshop …
Eva Zangerle
,
Christine Bauer
,
Alan Said
PDF
Cite
DOI
Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)
Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together …
Eva Zangerle
,
Christine Bauer
,
Alan Said
PDF
Cite
DOI
Multi-Method Evaluation of Adaptive Systems
When evaluating personalized or adaptive systems, we frequently rely on one single evaluation objective and one single method. This …
Christine Bauer
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Slides
DOI
Multi-Method Evaluation: Leveraging Multiple Methods to Answer What You Were Looking For
Research in the field of information retrieval and recommendation mostly focuses on one single evaluation method and one single quality …
Christine Bauer
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DOI
Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings
In this paper, we focus on recommendation settings with multiple stakeholders with possibly varying goals and interests, and argue that …
Christine Bauer
,
Eva Zangerle
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Poster
UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome & Organization
Ilknur Celik
,
Ilaria Torre
,
Frosina Koceva
,
Christine Bauer
,
Eva Zangerle
,
Bart Knijnenburg
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DOI
Information imbalance and responsibility in recommender systems
In the field of music recommender systems, country-specific aspects have received little attention, although it is known that music …
Christine Bauer
,
Eva Zangerle
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