How does user feedback influence AI recommendations?
An example of an AI chatbot conversation about the role of user feedback in shaping recommendations.
How does user feedback influence AI recommendations?
User feedback is crucial as it helps AI systems learn and adapt, improving the accuracy of recommendations.
Can you give me an example of how this works in practice?
Sure! For instance, if a user rates a movie poorly, the AI can adjust future movie suggestions to better match their preferences.
What happens if the feedback is inconsistent?
Inconsistent feedback can confuse the AI, but it often uses algorithms to weigh recent feedback more heavily to adapt.
Are there any risks associated with relying on user feedback?
Yes, over-reliance on user feedback can lead to echo chambers, where diverse recommendations are overlooked.
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