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Results
Found 29 publication records. Showing 29 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | 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 |
DBLP BibTeX RDF |
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1 | Olivier Jeunen |
Abstract: A Common Misassumption in Online Experiments with Machine Learning Models. |
Perspectives@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Alan Said, Eva Zangerle, Christine Bauer 0001 (eds.) |
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 |
2023 |
DBLP BibTeX RDF |
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1 | Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, Markus Schedl |
Multiobjective Hyperparameter Optimization of Recommender Systems. |
Perspectives@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Lukas Wegmeth, Tobias Vente, Lennart Purucker, Joeran Beel |
The Effect of Random Seeds for Data Splitting on Recommendation Accuracy. |
Perspectives@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt |
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. |
Perspectives@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Ghazaleh Haratinezhad Torbati, Anna Tigunova, Gerhard Weikum |
Unveiling Challenging Cases in Text-based Recommender Systems. |
Perspectives@RecSys |
2023 |
DBLP BibTeX RDF |
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1 | Lukas Wegmeth, Joeran Beel |
CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. |
Perspectives@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Eva Zangerle, Christine Bauer 0001, Alan Said (eds.) |
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 |
2022 |
DBLP BibTeX RDF |
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1 | 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 |
DBLP BibTeX RDF |
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1 | Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt |
Diversifying Sentiments in News Recommendation. |
Perspectives@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals |
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. |
Perspectives@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Benedikt Loepp |
Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems. |
Perspectives@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Mesut Kaya, Toine Bogers |
Towards Comparing Recommendation to Multiple-Query Search Sessions for Talent Search. |
Perspectives@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Naieme Hazrati, Francesco Ricci 0001 |
Learning Choice Models for Simulating Users' Interactions with Recommender Systems. |
Perspectives@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Robin Verachtert, Lien Michiels, Bart Goethals |
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. |
Perspectives@RecSys |
2022 |
DBLP BibTeX RDF |
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1 | Anna Marie Schröder, Maliheh Ghajargar |
Unboxing the Algorithm: Designing an Understandable Algorithmic Experience in Music Recommender Systems. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Daniel Woolridge, Sean Wilner, Madeleine Glick |
Sequence or Pseudo-Sequence? An Analysis of Sequential Recommendation Datasets. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Eva Zangerle, Christine Bauer 0001, Alan Said (eds.) |
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 |
2021 |
DBLP BibTeX RDF |
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1 | Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky |
MOCHI: an Offline Evaluation Framework for Educational Recommendations. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Emilia Gómez, Vicky Charisi, Stéphane Chaudron |
Evaluating Recommender Systems with and for Children: towards a Multi-Perspective Framework. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Ladislav Peska, Ladislav Malecek |
Coupled or Decoupled Evaluation for Group Recommendation Methods? |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Fernando Diaz 0001 |
On Evaluating Session-Based Recommendation with Implicit Feedback. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Teresa Scheidt, Joeran Beel |
Time-dependent Evaluation of Recommender Systems. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Ngozi Ihemelandu, Michael D. Ekstrand |
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | Anton Angwald, Kalle Areskoug, Alan Said |
Prediction Accuracy and Autonomy. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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1 | 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 |
DBLP BibTeX RDF |
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1 | 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 |
DBLP BibTeX RDF |
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1 | Indre Zliobaite |
Recommender Systems Meet Species Distribution Modelling. |
Perspectives@RecSys |
2021 |
DBLP BibTeX RDF |
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