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Machine Learning
A recommendation technique that makes predictions based on similarity patterns among users or items.
Detailed Explanation
Collaborative Filtering is a recommendation technique in Machine Learning that predicts a user's preferences by analyzing patterns and similarities among users or items. It assumes that users with similar tastes in the past will continue to share preferences, enabling personalized suggestions. This approach is commonly used in platforms like Netflix and Amazon to enhance user experience through tailored content recommendations.
Use Cases
- •Recommends movies on streaming platforms based on similar users' viewing histories and preferences.
Related Terms
Other terms in the Machine Learning category