About this document
Movie Recommendation System Overview by PARNIT KAUR is a document available to read on EtoBox.
This document presents a project focused on developing a movie recommendation system using the MovieLens dataset, addressing challenges like sparsity and cold-start problems. It employs a hybrid approach that combines collaborative filtering, content-based filtering, and Bayesian average ratings to enhance recommendation accuracy and user experience. The system aims to provide personalized, scalable, and reliable content suggestions while acknowledging its limitations such as static recommendations and popu
- Author
- PARNIT KAUR
- Language
- EN