Vol-3228
urn:nbn:de:0074-3228-8

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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 2022
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022
co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022)

Seattle, WA, USA, September 22, 2022.

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 12 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume. Furthermore, two out of three submitted abstracts were accepted.
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window
Robin Verachtert, Lien Michiels, Bart Goethals
CaMeLS: Cooperative Meta-Learning Service for Recommender Systems
Lukas Wegmeth, Joeran Beel
Diversifying Sentiments in News Recommendation
Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt
Learning Choice Models for Simulating Users' Interactions with Recommender Systems
Naieme Hazrati, Francesco Ricci
Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems
Benedikt Loepp
Towards Comparing Recommendation to Multiple-Query Search Sessions for Talent Search
Mesut Kaya, Toine Bogers
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So
Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals
Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation Metrics
Joel Pinho Lucas, Letícia Freire de Figueiredo, Felipe Alves Ferreira

2022-09-13: submitted by Eva Zangerle, metadata incl. bibliographic data published under Creative Commons CC0
2022-10-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|