Classify recommender inputs into explicit feedback, implicit behavior, item metadata, and context.
Place each recommender signal into the bucket that best describes its role. Explicit feedback Implicit behavior Item metadata Session context A user gives a lesson a five-star rating A user completes 90% of a recommended video The lesson is tagged as intermediate negotiation The recommendation was requested on a mobile phone at 7:30 a.m. A user hides a recommended product after seeing it The product has language, category, and availability fields A user scrolls past an item shown in slot 8 The current page is a renewal-risk dashboard
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