Recommender systems play a crucial role in personalised service delivery in various fields. In this paper we propose an innovative methodology for the construction of recommendation systems for insurance products. Our approach is based on a multi-criteria framework, which allows decision makers to tailor recommendations to individual customer profiles. By incorporating factors such as age, annual income, education level and risk preference, our method achieves flexibility and adaptability.
Enhancing Insurance Recommendations: A Multicriteria Approach Using the Choquet Integral
Cardin, Marta;Giove, Silvio
2026
Abstract
Recommender systems play a crucial role in personalised service delivery in various fields. In this paper we propose an innovative methodology for the construction of recommendation systems for insurance products. Our approach is based on a multi-criteria framework, which allows decision makers to tailor recommendations to individual customer profiles. By incorporating factors such as age, annual income, education level and risk preference, our method achieves flexibility and adaptability.File in questo prodotto:
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