Learning preferences to provide advice
Abstract
Finding an appropriate insurance product on the Web can be a difficult and time-consuming process. The majority of insurers continue to build sites that are structured on a corporate orientation rather than customer needs. Customers are left on their own to figure out how to analyse and compare different proposals. In this paper we analyse the application of machine learning techniques in modelling customers of an electronic insurance market as an approach to better match customers and insurance product offers, providing a valuable add-on to both customer’s and sellers’ sides.
Fields of Study & Subjects
Emotional Intelligence and Performance
Educational and Psychological Assessments
Health and Well-being Studies
Publication details
- Journal / source
- Concurrent Engineering, Volume 1: Enhanced Interoperable Systems
- Publisher
- CRC Press
- Pages
- 129–134
- Publication date
- 11 February 2026
- Language
- EN
- Document type
- Book chapter