Implicit feedback refers to the indirect signals and interactions from users that provide insights into their preferences and interests without explicit ratings or reviews. This type of feedback is gathered through user behaviors such as clicks, views, time spent on items, and purchase history. It is essential for building effective recommender systems as it helps to gauge user preferences even when users do not actively express them.
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