Multi-Stakeholder

Three views of a secret: embracing multiple perspectives in the evaluation of information retrieval and recommender systems
As users are increasingly confronted with information and choice overload, we need the ‘right’ information, at the …
Christine Bauer
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Keynote: Three views of a secret: Embracing multiple perspectives in the evaluation of information retrieval and recommender systems
IIR 2023 Keynote.
9 June 2023
Keynote: Three views of a secret: Embracing multiple perspectives in the evaluation of information retrieval and recommender systems
Fairness in music recommender systems: a stakeholder-centered mini review
The performance of recommender systems highly impacts both music streaming platform users and the artists providing music. As fairness …
Karlijn Dinnissen, Christine Bauer
PDF Cite Project DOI JIF 2023: 2.4 SCImago Journal Rank Frontiers in Big Data
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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Leveraging multi-method evaluation for multi-stakeholder settings