Hybrid recommender systems combine the features of both _______ and _______ methods.
- Collaborative, Clustering
- Content-Based, Matrix Factorization
- Dimensionality Reduction, Anomaly Detection
- Neural Networks, Regression
Hybrid recommender systems leverage both collaborative filtering (user-user/item-item) and content-based methods to provide more accurate recommendations. Collaborative filtering focuses on user behavior, while content-based filtering considers item attributes.
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