Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets

In areas of machine learning such as cognitive modeling or recommendation, user feedback is usually context-dependent. For instance, a website might provide a user with a set of recommendations and observe which (if any) of the links were clicked by the user. Similarly, there is growing interest in...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2024-04, Vol.PP, p.1-11
Hauptverfasser:	Alves, Rodrigo, Ledent, Antoine
Format:	Artikel
Sprache:	eng
Schlagworte:	Cognitive models of knowledge Cognitive science collaborative filtering Context modeling Data models odd-one-out problem Predictive models Recommender systems recommender systems (RSs) Task analysis Vectors
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