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.

Recommender systems for banking and financial services

Lillo, Fabrizio;Regoli, Daniele
2017

Abstract

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.
2017
2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster-Recsys 2017
ita
2017
CEUR Workshop Proceedings
CEUR-WS
Collaborative filtering; Finance; Networks; Statistical validation; Computer Science (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/83594
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