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Perspectives@RecSys
2021
2023
2021
2023
Keyphrases
Publications
2023
Andra-Georgiana Sav
,
Andrew M. Demetriou
,
Cynthia C. S. Liem
Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?
Perspectives@RecSys
(2023)
Olivier Jeunen
Abstract: A Common Misassumption in Online Experiments with Machine Learning Models.
Perspectives@RecSys
(2023)
Marta Moscati
,
Yashar Deldjoo
,
Giulio Davide Carparelli
,
Markus Schedl
Multiobjective Hyperparameter Optimization of Recommender Systems.
Perspectives@RecSys
(2023)
Lukas Wegmeth
,
Tobias Vente
,
Lennart Purucker
,
Joeran Beel
The Effect of Random Seeds for Data Splitting on Recommendation Accuracy.
Perspectives@RecSys
(2023)
Mete Sertkan
,
Sophia Althammer
,
Sebastian Hofstätter
,
Peter Knees
,
Julia Neidhardt
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation.
Perspectives@RecSys
(2023)
Ghazaleh Haratinezhad Torbati
,
Anna Tigunova
,
Gerhard Weikum
Unveiling Challenging Cases in Text-based Recommender Systems.
Perspectives@RecSys
(2023)
volume 3476, 2023
Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, September 19, 2023.
Perspectives@RecSys
3476 (2023)
2022
Lukas Wegmeth
,
Joeran Beel
CaMeLS: Cooperative Meta-Learning Service for Recommender Systems.
Perspectives@RecSys
(2022)
Joel Pinho Lucas
,
Leticia Freire de Figueiredo
,
Felipe Alves Ferreira
Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation Metrics.
Perspectives@RecSys
(2022)
Mete Sertkan
,
Sophia Althammer
,
Sebastian Hofstätter
,
Julia Neidhardt
Diversifying Sentiments in News Recommendation.
Perspectives@RecSys
(2022)
Lien Michiels
,
Robin Verachtert
,
Kim Falk
,
Bart Goethals
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So.
Perspectives@RecSys
(2022)
Benedikt Loepp
Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems.
Perspectives@RecSys
(2022)
Mesut Kaya
,
Toine Bogers
Towards Comparing Recommendation to Multiple-Query Search Sessions for Talent Search.
Perspectives@RecSys
(2022)
Naieme Hazrati
,
Francesco Ricci
Learning Choice Models for Simulating Users' Interactions with Recommender Systems.
Perspectives@RecSys
(2022)
Robin Verachtert
,
Lien Michiels
,
Bart Goethals
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window.
Perspectives@RecSys
(2022)
volume 3228, 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.
Perspectives@RecSys
3228 (2022)
2021
Anna Marie Schröder
,
Maliheh Ghajargar
Unboxing the Algorithm: Designing an Understandable Algorithmic Experience in Music Recommender Systems.
Perspectives@RecSys
(2021)
Daniel Woolridge
,
Sean Wilner
,
Madeleine Glick
Sequence or Pseudo-Sequence? An Analysis of Sequential Recommendation Datasets.
Perspectives@RecSys
(2021)
Chunpai Wang
,
Shaghayegh Sahebi
,
Peter Brusilovsky
MOCHI: an Offline Evaluation Framework for Educational Recommendations.
Perspectives@RecSys
(2021)
Emilia Gómez
,
Vicky Charisi
,
Stéphane Chaudron
Evaluating Recommender Systems with and for Children: towards a Multi-Perspective Framework.
Perspectives@RecSys
(2021)
Ladislav Peska
,
Ladislav Malecek
Coupled or Decoupled Evaluation for Group Recommendation Methods?
Perspectives@RecSys
(2021)
Fernando Diaz
On Evaluating Session-Based Recommendation with Implicit Feedback.
Perspectives@RecSys
(2021)
Teresa Scheidt
,
Joeran Beel
Time-dependent Evaluation of Recommender Systems.
Perspectives@RecSys
(2021)
Ngozi Ihemelandu
,
Michael D. Ekstrand
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse.
Perspectives@RecSys
(2021)
Anton Angwald
,
Kalle Areskoug
,
Alan Said
Prediction Accuracy and Autonomy.
Perspectives@RecSys
(2021)
Francesco Barile
,
Shabnam Najafian
,
Tim Draws
,
Oana Inel
,
Alisa Rieger
,
Rishav Hada
,
Nava Tintarev
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.
Perspectives@RecSys
(2021)
Milena Filipovic
,
Blagoj Mitrevski
,
Diego Antognini
,
Emma Lejal Glaude
,
Boi Faltings
,
Claudiu Musat
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context.
Perspectives@RecSys
(2021)
Indre Zliobaite
Recommender Systems Meet Species Distribution Modelling.
Perspectives@RecSys
(2021)
volume 2955, 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.
Perspectives@RecSys
2955 (2021)