Decision-making Recommender System using Machine Learning Collaborative Filtering

Authors

  • Pallavi Vyas, Anuj Bhardwaj, Dr. Ravindra Kumar Vishwakarma

DOI:

https://doi.org/10.17762/msea.v71i4.947

Abstract

In this digital era, a personalized recommender system can play a vital role in selecting suitable items to fulfill user requirements. These types of recommender system also help students and universities in various ways, with these types of recommender system student is able to find suitable program and courses. The recommender system helps in increasing the average result of a university. A recommender system is a platform that can be helpful in reducing the searching cost and time of users and growing effectiveness while selecting programs and courses.  The core technology implemented behind this recommender system comprises content-based, collaborative filtering, and hybrid recommender systems. This paper basically focuses on the principles of the collaborative filtering recommender system. Later on, the paper explains the working of a collaborative filtering algorithm. Also, its application in various areas.

Downloads

Published

2022-09-28

How to Cite

Pallavi Vyas, Anuj Bhardwaj, Dr. Ravindra Kumar Vishwakarma. (2022). Decision-making Recommender System using Machine Learning Collaborative Filtering. Mathematical Statistician and Engineering Applications, 71(4), 3813–3820. https://doi.org/10.17762/msea.v71i4.947

Issue

Section

Articles