Vol-2955
urn:nbn:de:0074-2955-4

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

Perspectives 2021
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021
co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021)

Amsterdam, The Netherlands, September 25, 2021.

Edited by

Eva Zangerle, Department of Computer Science, Universität Innsbruck, Austria
Christine Bauer, Department of Information and Computing Sciences, Utrecht University, The Netherlands
Alan Said, Department of Applied Information Technology, University of Gothenburg, Sweden

Table of Contents

Preface
Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume.
Coupled or Decoupled Evaluation for Group Recommendation Methods?
Ladislav Peska, Ladislav Maleček
Evaluating Recommender Systems with and for Children: towards a Multi-Perspective Framework
Emilia Gómez, Vicky Charisi, Stephane Chaudron
MOCHI: an Offline Evaluation Framework for Educational Recommendations
Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context
Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
On Evaluating Session-Based Recommendation with Implicit Feedback
Fernando Diaz
Prediction Accuracy and Autonomy
Anton Angwald, Kalle Areskoug, Alan Said
Recommender Systems Meet Species Distribution Modelling
Indre Zliobaite
Sequence or Pseudo-Sequence? An Analysis of Sequential Recommendation Datasets
Daniel Woolridge, Sean Wilner, Madeleine Glick
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse
Ngozi Ihemelandu, Michael D. Ekstrand
Time-dependent Evaluation of Recommender Systems
Teresa Scheidt, Joeran Beel
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation
Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev
Unboxing the Algorithm: Designing an Understandable Algorithmic Experience in Music Recommender Systems
Anna Marie Schröder, Maliheh Ghajargar

2021-09-14: submitted by Eva Zangerle, metadata incl. bibliographic data published under Creative Commons CC0
2021-09-27: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|