Personalised Recommendations through Collaborative Filtering

Explore Collaborative Filtering, focusing on User-Based and Item-Based methods. Understand key steps: constructing a user–item matrix, calculating similarities, predicting missing values, and recommending items. Learn the advantages, including relying on user interactions and bypassing detailed product information.