Content-based filtering recommends items based on features of items that a user has shown interest in before. In a movie recommendation system, the system looks at characteristics of movies a user has ...

Collaborative filtering is a cornerstone of personalised recommendation, leveraging patterns of user behaviour to predict preferences. Traditional memory-based approaches compute similarities between ...

This project involves building a movie recommendation system using user-based collaborative filtering with the k-Nearest Neighbors (KNN) algorithm. The model was trained on the Movielens 100k dataset, ...

Abstract: Deep neural networks have found wide applications in fields such as natural language processing, language translation, computer vision, and speech recognition, including recommendation ...