How does user feedback impact AI recommendations?
User feedback is crucial as it helps AI systems learn and improve their recommendations based on real user preferences.
Can you give me an example of how this works in practice?
Sure! For instance, if users consistently rate a movie highly, the AI will recommend it to more users with similar tastes.
What happens if the feedback is negative?
Negative feedback prompts the AI to adjust its algorithms, potentially reducing the visibility of poorly rated items.
Is user feedback the only factor that influences AI recommendations?
No, other factors like user behavior, trends, and contextual data also play significant roles in shaping recommendations.
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