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 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 get- ting a richer picture and prevents blind spots in the evaluation outcome.

1st Workshop on the Impact of Recommender Systems, co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019)