Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)

Authors Christine Bauer, Alan Said, Eva Zangerle and all authors of the abstracts in this report



PDF
Thumbnail PDF

File

DagRep.14.5.58.pdf
  • Filesize: 2.88 MB
  • 115 pages

Document Identifiers

Author Details

Christine Bauer
  • Paris Lodron University Salzburg, AT
Alan Said
  • University of Gothenburg, SE
Eva Zangerle
  • University of Innsbruck, AT
and all authors of the abstracts in this report

Cite As Get BibTex

Christine Bauer, Alan Said, and Eva Zangerle. Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211). In Dagstuhl Reports, Volume 14, Issue 5, pp. 58-172, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/DagRep.14.5.58

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 24211, "Evaluation Perspectives of Recommender Systems: Driving Research and Education", which brought together 41 participants from 16 countries.
The seminar brought together distinguished researchers and practitioners from the recommender systems community, representing a range of expertise and perspectives. The primary objective was to address current challenges and advance the ongoing discourse on the evaluation of recommender systems. The participants' diverse backgrounds and perspectives on evaluation significantly contributed to the discourse on this subject.
The seminar featured eight presentations on current challenges in the evaluation of recommender systems. These presentations sparked the general discussion and facilitated the formation of groups around these topics. As a result, five working groups were established, each focusing on the following areas: theory of evaluation, fairness evaluation, best-practices for offline evaluations of recommender systems, multistakeholder and multimethod evaluation, and evaluating the long-term impact of recommender systems.

Subject Classification

ACM Subject Classification
  • Information systems → Recommender systems
  • Information systems → Evaluation of retrieval results
  • Human-centered computing → HCI design and evaluation methods
Keywords
  • Recommender Systems
  • Evaluation
  • Information Retrieval
  • User Interaction
  • Intelligent Systems

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail