📄️ Introduction to Recommender Systems
Understanding the fundamentals of recommender systems, their importance in modern applications, and basic concepts.
📄️ Content-Based Filtering
Deep dive into content-based filtering techniques for recommender systems, including item representation and similarity measures.
📄️ Collaborative Filtering
Understanding collaborative filtering approaches in recommender systems, from user-based to matrix factorization techniques.
📄️ Context aware models
Exploring context-aware recommender systems that incorporate situational and environmental factors into recommendations.
📄️ Hybrid Models
Understanding hybrid recommender systems that combine multiple recommendation techniques for improved performance.
📄️ Evaluation
Comprehensive guide to evaluating recommender systems using various metrics and methodologies.