hybrid recommender systems
Hybrid recommender systems are a type of recommendation system that combine multiple approaches or techniques to provide personalized recommendations to users. They leverage both the content-based filtering (analyzing user preferences and item attributes) and collaborative filtering (analyzing user behavior and preferences of similar users) to enhance the accuracy and coverage of recommendations. This fusion of methods helps overcome the limitations or biases of individual approaches, resulting in more effective and diverse recommendations.
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Related Concepts (2)
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