Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives

Serendipitous recommendations have emerged as a compelling approach to deliver users with unexpected yet valuable information, contributing to heightened user satisfaction and engagement. This survey presents an investigation of the most recent research in serendipity recommenders, with a specific e...

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Veröffentlicht in:	ACM computing surveys 2024-01, Vol.56 (1), p.1-26, Article 19
Hauptverfasser:	Fu, Zhe, Niu, Xi, Maher, Mary Lou
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer science Deep learning Information systems Recommender systems Serendipity User satisfaction
Online-Zugang:	Volltext
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