A Survey on Neural Recommender Systems: Insights from a Bibliographic Analysis

Marco Giacalone, Flora Amato, Francesco Di Cicco, Mattia Fonisto

Onderzoeksoutput: Chapterpeer review


In recent years, deep learning has gotten a lot of attention, notably in fields like Computer Vision and Natural Language Processing. With the growing amount of online information, recommender systems have shown to be an effective technique for coping with information overload. The purpose of this article is to provide a comprehensive overview of recent deep learning-based recommender systems. Furthermore, it provides an experimental assessment of prominent topics within the latest published papers in the field. Results showed that explainable AI and Graph Neural Networks are two of the most attractive topics in the field to this day, and that the adoption of deep learning methods is increasing over.

Originele taal-2English
TitelAINA 2022: Advanced Information Networking and Applications
RedacteurenLeonard Barolli, Farookh Hussain, Tomoya Enokido
Aantal pagina's11
ISBN van elektronische versie978-3-030-99619-2
ISBN van geprinte versie978-3-030-99618-5
StatusPublished - 2022

Publicatie series

NaamLecture Notes in Networks and Systems

Bibliografische nota

Funding Information:
Acknowledgments. This paper has been produced with the financial support of the Justice Programme of the European Union, 101046629 CREA2, JUST-2021-EJUSTICE, JUST2027 Programme. The contents of this report are the sole responsibility of the authors and can in no way be taken to reflect the views of the European Commission.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright 2022 Elsevier B.V., All rights reserved.


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