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 (English)
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2022
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Title: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
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Additional title:Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES 2022), September 22nd, 2022, co-located with the 16th ACM Conference on Recommender Systems, Seattle, WA, USA
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Contributors:Zangerle, Eva ( editor ) / Bauer, Christine ( editor ) / Said, Alan ( editor ) / Perspectives on the Evaluation of Recommender Systems Workshop ( author )
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Conference:Perspectives on the Evaluation of Recommender Systems Workshop ; 2 ; 2022 ; Seattle, Wash.; Online
PERSPECTIVES ; 2 ; 2022 ; Seattle, Wash.; Online
ACM Conference on Recommender Systems ; 16 ; 2022 ; Seattle, Wash.; Online
ACM Recommender Systems Conference ; 16 ; 2022 ; Seattle, Wash.; Online
RecSys ; 16 ; 2022 ; Seattle, Wash.; Online -
Published in:CEUR workshop proceedings ; vol-3228
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Publisher:
- New search for: [RWTH Aachen]
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Place of publication:[Aachen, Germany]
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Publication date:2022
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Size:1 Online-Ressource
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Remarks:Illustrationen
Literaturangaben
Digital preservation by Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek -
Type of media:Conference Proceedings
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Type of material:Electronic Resource
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Language:English
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Licence:
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Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation MetricsLucas, Joel Pinho / Figueiredo, Letícia Freire de / Ferreira, Felipe Alves et al. | 2022
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Abstract: Should Algorithm Evaluation Extend to Testing? We Think SoMichiels, Lien / Verachtert, Robin / Falk, Kim / Goethals, Bart et al. | 2022
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Are We Forgetting Something? Correctly Evaluate a Recommender System With an Optimal Training WindowVerachtert, Robin / Michiels, Lien / Goethals, Bart et al. | 2022
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Learning Choice Models for Simulating Users' Interactions with Recommender SystemsHazrati, Naieme / Ricci, Francesco et al. | 2022
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CaMeLS: Cooperative Meta-Learning Service for Recommender SystemsWegmeth, Lukas / Beel, Joeran et al. | 2022
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Diversifying Sentiments in News RecommendationSertkan, Mete / Althammer, Sophia / Hofstätter, Sebastian / Neidhardt, Julia et al. | 2022
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Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender SystemsLoepp, Benedikt et al. | 2022
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Towards Comparing Recommendation to Multiple-Query Search Sessions for Talent SearchKaya, Mesut / Bogers, Toine et al. | 2022