A carregar...
Publicação
Intelligent recommender system for car insurance plans - focusing on model flexibility and personalisation
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 2.23 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Acknowledging the success of personalized recommendations as support to promote
sales within a business, this paper proposes the development of a recommender system to answer
Fidelidade’s problem of depersonalization in the auto insurance sector. To build a model able to
consider historical data from the customer and the car to recommend the best auto insurance
package, a thorough data cleaning and model hypertunning were made to ensure that the three
main objectives: predictability (accuracy when predicting), explainability (explaining to each
customer the reason to recommend a certain product) and flexibility (proposing different
coverages combinations) were satisfied.
Descrição
Palavras-chave
Machine learning Content-based recommendation systems Insurance Predictability Explainability Flexibility