Contextual Need Assessment and Policy Matching Intelligence: Machine Learning Frameworks for Enhanced Insurance Policy Recommendation Systems

Authors

  • Daniel Nikulin Professor of Electrical Engineering, National Research University – Moscow Institute of Electronic Technology (MIET)

Keywords:

contextual need assessment, policy matching intelligence, machine learning frameworks, enhanced insurance policy recommendation systems

Abstract

Although insurance has evolved into a proactive platform, the essence of risk relaying is yet to be encompassed in insurance frameworks. These traditional models fall short of influencing customer choices based on personalized suggestions. Subsequently, they emanate from all available products instead of a strategic attempt to leverage futuristic insights.

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Published

31-12-2023

How to Cite

[1]
“Contextual Need Assessment and Policy Matching Intelligence: Machine Learning Frameworks for Enhanced Insurance Policy Recommendation Systems”, Human-Computer Interaction Persp., vol. 3, no. 2, pp. 1–12, Dec. 2023, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/794