Recommender systems for banking and financial services
Andrea Gigli, Fabrizio Lillo, Daniele Regoli · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · 2017
In this work we demonstrate the usefulness of the application of Recommender Systems in the financial domain. Specifically we investigate a dataset, made available by a major European bank, containing the purchases of a large set of investment assets by 200k investors. We also present some preliminary results of the application of network analysis via statistical validation to identify clusters of investment assets.