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
