Recommender systems are an essential part of modern machine learning applications. They are used to predict the preferences of users for items, such as movies, products, or news articles. This page provides an overview of the sample projects related to recommender systems available on our site.
Sample Projects
Here are some sample projects that showcase the use of recommender systems:
- Collaborative Filtering: A project that demonstrates how to build a collaborative filtering recommender system.
- Content-Based Filtering: A project that focuses on building a content-based filtering recommender system.
- Hybrid Recommender Systems: A project that combines collaborative and content-based filtering to improve recommendations.
Getting Started
If you are new to recommender systems, we recommend starting with the Introduction to Recommender Systems.