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ORCIDPerspectives@RecSys 2022: Seattle, WA, USA
- Eva Zangerle, Christine Bauer, Alan Said:
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. CEUR Workshop Proceedings 3228, CEUR-WS.org 2022 - Robin Verachtert, Lien Michiels, Bart Goethals:
Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training Window. - Lukas Wegmeth, Joeran Beel:
CaMeLS: Cooperative Meta-Learning Service for Recommender Systems. - Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt:
Diversifying Sentiments in News Recommendation. - Naieme Hazrati, Francesco Ricci:
Learning Choice Models for Simulating Users' Interactions with Recommender Systems. - Benedikt Loepp:
Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems. - Mesut Kaya, Toine Bogers:
Towards Comparing Recommendation to Multiple-Query Search Sessions for Talent Search. - Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals:
Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. - Joel Pinho Lucas, Leticia Freire de Figueiredo, Felipe Alves Ferreira:
Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation Metrics.
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last updated on 2025-01-22 20:35 CET by the dblp team
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