We invite academics, industry practitioners, designers, developers, and policymakers in all relevant fields (CS, HCI/UX, social science, law) interested in discussing, getting acquainted with, and shaping the research agenda for the evaluation of explanations for recommender systems to participate in the QUARE workshop.
We do not require QUARE workshop participants to submit a research paper. Instead, the QUARE workshop will be organised as an interdisciplinary, discussion-centric event that aims to outline a research agenda for generating, evaluating, and operationalising explanations. By engaging and bringing together perspectives and solutions from industry and academia, the workshop will thus facilitate the exchange of various perspectives (technical, social, human factors) regarding design guidelines, implementation, and evaluation of explanations in recommender systems.
The goal of the workshop is to shape, co-create, and share with the community a research agenda for evaluating the quality of recommendation explanations.
More precisely, we address three main questions:
Generating explanations: How to balance user needs and organisational objectives when explaining recommendations?
Evaluating explanations: How to evaluate the quality of explanations through both subjective and objective measures?
Operationalising explanations: What could be a typical MVP (Minimum Viable Product) for explanations of recommendations? What are the most basic features we may need?
The workshop is co-located with the 17th ACM Conference on Recommender Systems and will be organized as a virtual event.
CONTACT:
quare-workshop at googlegroups.com