Generating Artificial Core Users for Interpretable Condensed Data

Recent work has shown that in a dataset of user ratings on items there exists a group of Core Users who hold most of the information necessary for recommendation. This set of Core Users can be as small as 20 percent of the users. Core Users can be used to make predictions for out-of-sample users wit...

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Bibliographische Detailangaben

Hauptverfasser:	Nesky, Amy, Stout, Quentin F
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Information Retrieval Computer Science - Learning
Online-Zugang:	Volltext bestellen
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