Justification of Recommender Systems Results: A Service-based Approach

With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the servic...

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Veröffentlicht in:	arXiv.org 2022-11
Hauptverfasser:	Mauro, Noemi, Hu, Zhongli Filippo, Ardissono, Liliana
Format:	Artikel
Sprache:	eng
Schlagworte:	Adequacy Artificial intelligence Cognition Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction Computer Science - Information Retrieval Evaluation Inspection Recommender systems User satisfaction
Online-Zugang:	Volltext
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