This study looks at movie recommendations, the logic behind them, as well as more traditional movie recommendation systems and a solution for an AI-based customised movie …

Jan 29, 2025 · Movie recommendation systems are AI-driven algorithms designed to predict user preferences based on their past behavior. These systems analyze viewing history, user …

May 1, 2025 · Let’s delve into the “Movie Recommendation System” fundamentals to unlock the magic of personalized movie suggestions using machine learning algorithms. Learning …

This project is a machine learning-based system designed to recommend movies to users based on their preferences. The system leverages content-based filtering and collaborative filtering …

Oct 7, 2023 · To enable our recommendation system to understand and compare movie descriptions effectively, we employ a technique called TF-IDF (Term Frequency-Inverse …

Jan 3, 2024 · In this blog post, we’ll guide you through the process of creating a movie recommender system using collaborative filtering, a popular approach in recommendation …

Jun 1, 2022 · Two of the supervised machine learning algorithms Naïve Bayes (NB) Classifier and Support Vector Machine (SVM) Classifier are used to increase the accuracy and efficiency. …

recommendation system. Movie Lens is one such dataset that we took advantage of. For the start we have worked on smaller datasets in order to get efficiency in the result. We have created …

Sep 4, 2024 · A personalized movie recommendation system can help users discover films they are likely to enjoy based on their preferences and past viewing history. In this blog post, we …

In this paper, we aim to minimise the human effort by suggesting movies based on the user’s interests and preferences. To handle such problems, we introduced a model based on content …