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All Topics on Recommender Systems Homework Solving Service
|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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