Collaborative Filtering and Contextual Bandits in Retail Finance: A Hybrid Recommender System for Personalised Financial Product Matching

Authors

  • Paulo Leitão Professor of Informatics, University of Minho

Keywords:

collaborative filtering, contextual bandits, retail finance, hybrid recommender system, personalised financial product matching, machine learning

Abstract

Financial services are striving to adapt to rapidly changing consumer behavior and financial landscapes. For decades, financial services have been exclusively used by intermediaries, and customers have had to rely on advisors' judgment. With digitalization and advances in finance, services are becoming increasingly available to self-directed individual investors.

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Published

31-12-2022

How to Cite

[1]
“Collaborative Filtering and Contextual Bandits in Retail Finance: A Hybrid Recommender System for Personalised Financial Product Matching”, Adv. in Deep Learning Techniques, vol. 2, no. 2, pp. 76–85, Dec. 2022, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/adlt/article/view/759