Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings
Christine Bauer, Eva Zangerle

TL;DR
This paper advocates for using a multi-method evaluation approach in multi-stakeholder recommendation settings to capture diverse goals and prevent blind spots in assessment.
Contribution
It introduces the concept of multi-method evaluation for complex multi-stakeholder recommendation scenarios, emphasizing its importance over single-method approaches.
Findings
Multi-method evaluation provides a more comprehensive assessment.
Single evaluation methods are insufficient for multi-stakeholder settings.
Combining multiple measures reveals diverse stakeholder perspectives.
Abstract
In this paper, we focus on recommendation settings with multiple stakeholders with possibly varying goals and interests, and argue that a single evaluation method or measure is not able to evaluate all relevant aspects in such a complex setting. We reason that 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.
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Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · Recommender Systems and Techniques · Evaluation and Performance Assessment
