Title
Fog computing architecture for personalized recommendation of banking products.
Abstract
•Architecture includes fog nodes where data is processed by intelligent agents.•The recommender solution for a banking entity integrates predictive systems.•To recommend financial products a hybrid recommendation method is proposed.•Fog layer will improve customization of banking products.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.112900
Expert Systems with Applications
Keywords
Field
DocType
Fog computing,Architecture,Recommendation system,Commercial banking,Fintech
Recommender system,Transparency (graphic),Intelligent agent,Architecture,Collaborative filtering,Computer science,Communication channel,Artificial intelligence,Case-based reasoning,Machine learning,Process management,Cloud computing
Journal
Volume
ISSN
Citations 
140
0957-4174
3
PageRank 
References 
Authors
0.37
0
5