Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings: 1st Workshop on the Impact of Recommender Systems, co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019)

Christine Bauer, Eva Zangerle

Research output: Contribution to conferencePaperAcademic

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 evalu- ate 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 get- ting a richer picture and prevents blind spots in the evaluation outcome.
Original languageEnglish
Publication statusPublished - 2019

Keywords

  • recommender systems; evaluation; multi-methods; multi-stakeholder; user experience

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