Empirical analysis of session-based recommendation algorithms A comparison of neural and non-neural approaches

Recommender systems are tools that support online users by pointing them to potential items of interest in situations of information overload. In recent years, the class of session-based recommendation algorithms received more attention in the research literature. These algorithms base their recomme...

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Veröffentlicht in:	User modeling and user-adapted interaction Jg. 31; H. 1; S. 149 - 181
Hauptverfasser:	Ludewig, Malte, Mauro, Noemi, Latifi, Sara, Jannach, Dietmar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.03.2021
Schlagworte:	Computer Science Management of Computing and Information Systems Multimedia Information Systems User Interfaces and Human Computer Interaction Performance evaluation Reproducibility Session-based recommendation
ISSN:	0924-1868, 1573-1391
Online-Zugang:	Volltext
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