Authors :
Lakshmaji K; Pavani Annapurna B; Lakshmi Sairam P; Prem Chaitanya P; Murali Srinivas K; Harsha Vinay G
Volume/Issue :
Volume 8 - 2023, Issue 12 - December
Google Scholar :
http://tinyurl.com/5n867t4h
Scribd :
http://tinyurl.com/vjnetzmz
DOI :
https://doi.org/10.5281/zenodo.10437439
Abstract :
Selecting the appropriate institution is a
crucial decision that will have a lasting impact on a
student's future in the quickly evolving world of today.
This complicated procedure is made simpler by the
College Recommendation System, which uses conditional
filtering to provide individualized recommendations. To
produce customized recommendations, it considers a
number of variables, including past data, preferences,
and academic achievement. Parents and students may
navigate the complicated world of higher education with
the help of this system, which is based on a
comprehensive database and an intuitive interface.
Selecting the right institution is an important part
of a student's academic and career path. The goal of the
College Recommendation System is to make this process
easier by offering tailored recommendations through
conditional filtering. It generates customized
recommendations based on variables such as academic
achievement, preferences, and historical data, increasing
the likelihood that students would make well-informed
judgments.
With its user-friendly design and extensive
database, the College Recommendation System turns
into a priceless resource for parents and students looking
for advice on the challenging landscape of higher
education. It makes recommendations that are closely
aligned with the individual requirements and goals of
every student by depending on conditional filtering. This
approach streamlines the college application process and
gives students the ability to make decisions that will have
a big impact on their performance in the future.
Keywords :
Conditional filtering, User-friendly interface, Data mining, Algorithms, Personalized suggestions, Recommendation system, and College selection.
Selecting the appropriate institution is a
crucial decision that will have a lasting impact on a
student's future in the quickly evolving world of today.
This complicated procedure is made simpler by the
College Recommendation System, which uses conditional
filtering to provide individualized recommendations. To
produce customized recommendations, it considers a
number of variables, including past data, preferences,
and academic achievement. Parents and students may
navigate the complicated world of higher education with
the help of this system, which is based on a
comprehensive database and an intuitive interface.
Selecting the right institution is an important part
of a student's academic and career path. The goal of the
College Recommendation System is to make this process
easier by offering tailored recommendations through
conditional filtering. It generates customized
recommendations based on variables such as academic
achievement, preferences, and historical data, increasing
the likelihood that students would make well-informed
judgments.
With its user-friendly design and extensive
database, the College Recommendation System turns
into a priceless resource for parents and students looking
for advice on the challenging landscape of higher
education. It makes recommendations that are closely
aligned with the individual requirements and goals of
every student by depending on conditional filtering. This
approach streamlines the college application process and
gives students the ability to make decisions that will have
a big impact on their performance in the future.
Keywords :
Conditional filtering, User-friendly interface, Data mining, Algorithms, Personalized suggestions, Recommendation system, and College selection.
