Multimethod

Women in RecSys Journal Paper of the Year Award 2023
Eva Zangerle and me received the Women in RecSys Journal Paper of the Year Award 2023 for our CSUR paper ‘Evaluating Recommender Systems: Survey and Framework’.
8 October 2023 1 min read News
Project
Women in RecSys Journal Paper of the Year Award 2023
Evaluating recommender systems: survey and framework
Invited talk at the 17th ACM Conference on Recommender Systems (RecSys 2023) as awardee of the Women in RecSys Journal Paper of the Year Award 2023, Senior category.
Eva Zangerle, Christine Bauer
22 September 2023
Project Video Women in RecSys Journal Paper of the Year Award 2023, Senior category
Evaluating recommender systems: survey and framework
Evaluating recommender systems: survey and framework
The comprehensive evaluation of the performance of a recommender system is a complex endeavor: many facets need to be considered in …
Eva Zangerle, Christine Bauer
PDF Cite Project Video DOI ACM Author-izer JIF 2024: 28 CORE 2020: A* VHB 2024: A SCImago Journal Rank ACM Computing Surveys Women in RecSys Journal Paper of the Year Award 2023, Senior category
Evaluating recommender systems: survey and framework
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
PDF Cite Project Slides DOI ACM Author-izer ICORE 2026: A GGS 2021: B
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
PDF Cite Project DOI ACM Author-izer ICORE 2026: B
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
PDF Cite Project Project Project Poster
Leveraging multi-method evaluation for multi-stakeholder settings
IUadaptME great success!

Yesterday’s IUadaptME workshop at UMAP 2018 was a great success! Thank you to all participants and my co-organizers. We had interesting discussions.

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Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart Knijnenburg (2018). UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome & Organization. 26th Conference on User Modeling, Adaptation and Personalization (UMAP 2018).

PDF Cite Project DOI ACM Author-izer ICORE 2026: A GGS 2021: B

9 July 2018 1 min read News
Project
IUadaptMe 2018: Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation
Workshop on Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe 2018) at UMAP 2018.
Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart P. Knijnenburg
8 July 2018 Event
Project DOI
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
PDF Cite Project DOI ACM Author-izer ICORE 2026: A GGS 2021: B
Multi-method evaluation
The comprehensive evaluation of the performance of a system is a complex endeavor: many facets need to be considered in configuring an adequate and effective evaluation setting. A single evaluation method or measure is not able to evaluate all relevant aspects in a complex setting where a multitude of stakeholders are involved. Employing a multi-method evaluation, where multiple evaluation methods or measures are combined and integrated, allows for getting a richer picture and prevents blind spots in the evaluation outcome.
Multi-method evaluation