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All Topics on Recommender Systems Homework Solving Service
| Topics | Contents |
|---|---|
| Collaborative Filtering | Algorithms for a user-item recommendation based on user behavior |
| Content-Based Filtering | Techniques using item features and user preferences |
| Hybrid Recommender Systems | Combination of collaborative and content-based approaches |
| Matrix Factorization | Dimensionality reduction methods for improved performance |
| Feature Engineering | Enhancing recommendation models with relevant data features |
| Evaluation | Methods to assess the effectiveness of recommender systems |
| Bias | Dealing with biases in data that can impact recommendations |
| Cold Start | Addressing challenges when new users or items join the system |
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