Recommendation systems are crucial in helping users discover relevant content in massive datasets. In this project, we focus on recommending movies to users based on the ratings of other users with ...

Recommender systems have become a part of daily life for users of Amazon and Netflix and even social media. While some sites might use these systems to improve the customer experience (if you liked ...

Abstract: Machine learning (ML) recommendation systems have ushered in a transformative era in education, providing students with highly personalized learning experiences. These systems employ complex ...

Currently, music streaming networks require recommendation algorithms for helping consumers find new music that meets their preferences. Python is preferred by developers because it offers great ...

To achieve this, we will use the Scikit-learn library, a free software machine learning library for Python, with two main algorithms: TF-IDF : Term frequency-inverse document frequency.