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.
Gigli, A., Lillo, F., Regoli, D. (2017). Recommender systems for banking and financial services. CEUR-WS.
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.File in questo prodotto:
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