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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Bibliographic Details

Published in:	User modeling and user-adapted interaction Vol. 31; no. 1; pp. 149 - 181
Main Authors:	Ludewig, Malte, Mauro, Noemi, Latifi, Sara, Jannach, Dietmar
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.03.2021
Subjects:	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 Access:	Get full text
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