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 / Gigli, Andrea; Lillo, Fabrizio; Regoli, Daniele. - ELETTRONICO. - 1905:(2017), pp. 1-2. (Intervento presentato al convegno 2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster-Recsys 2017 tenutosi a ita nel 2017).

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
CEUR Workshop Proceedings
1
2
Recommender systems for banking and financial services / Gigli, Andrea; Lillo, Fabrizio; Regoli, Daniele. - ELETTRONICO. - 1905:(2017), pp. 1-2. (Intervento presentato al convegno 2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster-Recsys 2017 tenutosi a ita nel 2017).
Gigli, Andrea; Lillo, Fabrizio; Regoli, Daniele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/630378
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