What is the role of user feedback in improving recommendations?
An example of an AI chatbot conversation about the importance of user feedback in recommendations.
What is the role of user feedback in improving recommendations?
User feedback is crucial as it helps refine algorithms, ensuring recommendations align with user preferences.
Can you give an example of how feedback changes recommendations?
Sure! If a user rates a movie poorly, the system learns to suggest different genres or styles in the future.
How do you collect user feedback?
Feedback can be collected through ratings, reviews, surveys, or even tracking user interactions with recommendations.
Is there a risk of bias in user feedback?
Yes, feedback can be biased based on individual preferences, which is why diverse data is important for accuracy.
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