1. Introduction to Recommender Systems
  1.1 Role of Recommender Systems in Content Delivery
  1.2 Challenges and Opportunities in Music and Movie Recommendations
2. Collaborative Filtering for Music and Movie Recommendations
  2.1 User-Item Collaborative Filtering Algorithms
  2.2 Item-Item Collaborative Filtering Techniques
3. Content-Based Filtering for Music and Movie Recommendations
  3.1 Feature Extraction and Similarity Measures
  3.2 User Profile and Preference Modeling
4. Hybrid Recommender Systems
  4.1 Combination of Collaborative and Content-Based Filtering
  4.2 Weighted and Ensemble Approaches
5. Evaluation Metrics for Recommender Systems
  5.1 Accuracy and Diversity Measures
  5.2 User Satisfaction and Engagement Analysis