implicit feedback-based content recommendation
Implicit feedback-based content recommendation refers to a method of suggesting relevant content to users based on their actions and behavior within a system, such as their clicks, views, or purchases. This approach does not require explicit input or ratings from users, as it uses implicit signals to infer their preferences and deliver personalized recommendations.
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