Insurance Recommendation System


Authors : N. SWAPNA GOUD; B. BHUVANESHWARI; GAYATRI DEEPTHI Y; K. KEERTHANA

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3nOY1Dl

DOI : https://doi.org/10.5281/zenodo.7802335

Abstract : There is a need for a suitable tool to help people select the right insurance plan because there is a great amount of information about insurance on the internet. By creating a recommendation engine that directly provides a product to its clients, the insurance industry has found a lot of value. Several insurance firms provide various insurance policies. Customers are now unable to decide on a plan because of this. Our invention is creating a suggestion system that is especially tailored for the user. Due to their special characteristics, insurance plans require a different approach than traditional systems. These algorithms often use enormous databases to construct them and aim to suggest the best offer. Our system employs the collaborative filtering technique to determine how likely it is for a user to obtain an insurance plan based on user similarity taking into account their preferences. The usage of recommendation tools is widespread, but little has been done for the insurance sector. Our system uses this technique for insurance suggestions in an effort to close that gap

There is a need for a suitable tool to help people select the right insurance plan because there is a great amount of information about insurance on the internet. By creating a recommendation engine that directly provides a product to its clients, the insurance industry has found a lot of value. Several insurance firms provide various insurance policies. Customers are now unable to decide on a plan because of this. Our invention is creating a suggestion system that is especially tailored for the user. Due to their special characteristics, insurance plans require a different approach than traditional systems. These algorithms often use enormous databases to construct them and aim to suggest the best offer. Our system employs the collaborative filtering technique to determine how likely it is for a user to obtain an insurance plan based on user similarity taking into account their preferences. The usage of recommendation tools is widespread, but little has been done for the insurance sector. Our system uses this technique for insurance suggestions in an effort to close that gap

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